diff --git a/.lintr b/.lintr
index 0a53596..d640649 100644
--- a/.lintr
+++ b/.lintr
@@ -1,5 +1,7 @@
 linters: linters_with_defaults(
         indentation_linter = lintr::indentation_linter(indent = 4L),
+        # line_length_linter = lintr::line_length_linter(80L),
+        line_length_linter = lintr::line_length_linter(500L),
         indentation_linter = NULL,
         assignment_linter = NULL,
         trailing_blank_lines_linter = NULL,
@@ -21,7 +23,6 @@ linters: linters_with_defaults(
         cyclocomp_linter = NULL,
         object_usage_linter = NULL,
         object_name_linter = NULL,
-        line_length_linter = NULL,
         commented_code_linter = NULL
     )
 encoding: "UTF-8"
diff --git a/R/deprecated.R b/R/deprecated.R
index aa95ea6..8410a1c 100644
--- a/R/deprecated.R
+++ b/R/deprecated.R
@@ -4,31 +4,31 @@
 #' @param ts,spec,context,userdefined,name Parameters.
 #' @name deprecated-rjd3x13
 #' @export
-spec_x13<-function(name = c("rsa4","rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c")){
-  .Deprecated("x13_spec")
-  x13_spec(name)
+spec_x13 <- function(name = c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c")) {
+    .Deprecated("x13_spec")
+    x13_spec(name)
 }
 #' @name deprecated-rjd3x13
 #' @export
-spec_regarima<-function(name=c("rg4","rg0", "rg1", "rg2c", "rg3", "rg5c")){
-  .Deprecated("regarima_spec")
-  regarima_spec(name)
+spec_regarima <- function(name = c("rg4", "rg0", "rg1", "rg2c", "rg3", "rg5c")) {
+    .Deprecated("regarima_spec")
+    regarima_spec(name)
 }
 #' @name deprecated-rjd3x13
 #' @export
 spec_x11 <- function() {
-  .Deprecated("x11_spec")
-  x11_spec()
+    .Deprecated("x11_spec")
+    x11_spec()
 }
 #' @name deprecated-rjd3x13
 #' @export
-fast_x13<-function(ts, spec=c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"), context=NULL, userdefined = NULL){
-  .Deprecated("x13_fast")
-  x13_fast(ts, spec, context, userdefined)
+fast_x13 <- function(ts, spec = c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"), context = NULL, userdefined = NULL) {
+    .Deprecated("x13_fast")
+    x13_fast(ts, spec, context, userdefined)
 }
 #' @name deprecated-rjd3x13
 #' @export
-fast_regarima<-function(ts, spec= c("rg4", "rg0", "rg1", "rg2c", "rg3","rg5c"), context=NULL, userdefined = NULL){
-  .Deprecated("regarima_fast")
-  regarima_fast(ts, spec, context, userdefined)
+fast_regarima <- function(ts, spec = c("rg4", "rg0", "rg1", "rg2c", "rg3", "rg5c"), context = NULL, userdefined = NULL) {
+    .Deprecated("regarima_fast")
+    regarima_fast(ts, spec, context, userdefined)
 }
diff --git a/R/print.R b/R/print.R
index 0897f6e..70d1d3e 100644
--- a/R/print.R
+++ b/R/print.R
@@ -1,171 +1,200 @@
-#'@importFrom stats printCoefmat
-#'@importFrom utils capture.output
-print_x11_decomp <- function(x, digits = max(3L, getOption("digits") - 3L), ...){
-  mstats <- matrix(unlist(x$mstats),
-                  ncol = 1,
-                  dimnames = list(names(x$mstats), "M stats"))
-  cat("Monitoring and Quality Assessment Statistics:",
-      "\n")
-  printCoefmat(mstats, digits = digits, P.values= FALSE, na.print = "NA", ...)
-  cat("\n")
-  cat("Final filters:","\n")
-  cat(sprintf("Seasonal filter: S3X%s", x$decomposition$final_seasonal))
-  cat("\n")
-  cat(sprintf("Trend filter: %s terms Henderson moving average", x$decomposition$final_henderson))
-  cat("\n")
-  return(invisible(x))
+#' @importFrom stats printCoefmat
+#' @importFrom utils capture.output
+print_x11_decomp <- function(x, digits = max(3L, getOption("digits") - 3L), ...) {
+    mstats <- matrix(unlist(x$mstats),
+        ncol = 1,
+        dimnames = list(names(x$mstats), "M stats")
+    )
+    cat(
+        "Monitoring and Quality Assessment Statistics:",
+        "\n"
+    )
+    printCoefmat(mstats, digits = digits, P.values = FALSE, na.print = "NA", ...)
+    cat("\n")
+    cat("Final filters:", "\n")
+    cat(sprintf("Seasonal filter: S3X%s", x$decomposition$final_seasonal))
+    cat("\n")
+    cat(sprintf("Trend filter: %s terms Henderson moving average", x$decomposition$final_henderson))
+    cat("\n")
+    return(invisible(x))
 }
 print_diagnostics <- function(x, digits = max(3L, getOption("digits") - 3L),
-                              ...){
-  variance_decomposition <- x$variance_decomposition
-  residual_tests <- x$residual_tests
-
-  cat("Relative contribution of the components to the stationary",
-      "portion of the variance in the original series,",
-      "after the removal of the long term trend (in %)",
-      sep = "\n"
-  )
-  cat("\n")
-  cat(paste0(" ",
-             capture.output(
-               printCoefmat(variance_decomposition*100, digits = digits, ...)
-             )),
-      sep ="\n")
-  cat("\n")
-
-  cat("Residual seasonality tests")
-  cat("\n")
-  cat(paste0(" ",
-             capture.output(
-               printCoefmat(residual_tests[,"P.value", drop = FALSE], digits = digits,
-                            na.print = "NA", ...)
-             )
-  ),
-  sep ="\n")
-  cat("\n")
-
-  return(invisible(x))
+                              ...) {
+    variance_decomposition <- x$variance_decomposition
+    residual_tests <- x$residual_tests
+
+    cat("Relative contribution of the components to the stationary",
+        "portion of the variance in the original series,",
+        "after the removal of the long term trend (in %)",
+        sep = "\n"
+    )
+    cat("\n")
+    cat(
+        paste0(
+            " ",
+            capture.output(
+                printCoefmat(variance_decomposition * 100, digits = digits, ...)
+            )
+        ),
+        sep = "\n"
+    )
+    cat("\n")
+
+    cat("Residual seasonality tests")
+    cat("\n")
+    cat(
+        paste0(
+            " ",
+            capture.output(
+                printCoefmat(residual_tests[, "P.value", drop = FALSE],
+                    digits = digits,
+                    na.print = "NA", ...
+                )
+            )
+        ),
+        sep = "\n"
+    )
+    cat("\n")
+
+    return(invisible(x))
 }
 
 #' @export
 print.JD3_X13_RSLTS <- function(x, digits = max(3L, getOption("digits") - 3L), summary_info = getOption("summary_info"),
-                   ...){
-
-  cat("Model: X-13\n")
-  print(x$preprocessing, digits = digits, summary_info = FALSE, ...)
-  cat("\n")
-  cat(sprintf("Seasonal filter: S3X%s", x$decomposition$final_seasonal))
-  cat("\n")
-  cat(sprintf("Trend filter: %s terms Henderson moving average\n", x$decomposition$final_henderson))
-  if (summary_info)
-      cat("\nFor a more detailed output, use the 'summary()' function.\n")
-  return(invisible(x))
+                                ...) {
+    cat("Model: X-13\n")
+    print(x$preprocessing, digits = digits, summary_info = FALSE, ...)
+    cat("\n")
+    cat(sprintf("Seasonal filter: S3X%s", x$decomposition$final_seasonal))
+    cat("\n")
+    cat(sprintf("Trend filter: %s terms Henderson moving average\n", x$decomposition$final_henderson))
+    if (summary_info) {
+        cat("\nFor a more detailed output, use the 'summary()' function.\n")
+    }
+    return(invisible(x))
 }
 
 #' @export
-summary.JD3_X13_RSLTS <- function(object, ...){
-    x <- list(preprocessing = summary(object$preprocessing),
-         decomposition = object[c("mstats", "decomposition")],
-         diagnostics = rjd3toolkit::diagnostics(object),
-         final = rjd3toolkit::sa_decomposition(object)
-         )
+summary.JD3_X13_RSLTS <- function(object, ...) {
+    x <- list(
+        preprocessing = summary(object$preprocessing),
+        decomposition = object[c("mstats", "decomposition")],
+        diagnostics = rjd3toolkit::diagnostics(object),
+        final = rjd3toolkit::sa_decomposition(object)
+    )
     class(x) <- "summary.JD3_X13_RSLTS"
     return(x)
 }
 
 #' @export
-summary.JD3_X13_OUTPUT <- function(object, ...){
+summary.JD3_X13_OUTPUT <- function(object, ...) {
     summary(object$result, ...)
 }
 
 #' @export
-print.summary.JD3_X13_RSLTS <- function(x, digits = max(3L, getOption("digits") - 3L), signif.stars = getOption("show.signif.stars"), ...){
+print.summary.JD3_X13_RSLTS <- function(x, digits = max(3L, getOption("digits") - 3L), signif.stars = getOption("show.signif.stars"), ...) {
     cat("Model: X-13\n")
     print(x$preprocessing, digits = digits, signif.stars = signif.stars, ...)
-    cat("\n", "Decomposition","\n",sep="")
+    cat("\n", "Decomposition", "\n", sep = "")
     print_x11_decomp(x$decomposition, digits = digits, ...)
-    cat("\n", "Diagnostics","\n",sep="")
+    cat("\n", "Diagnostics", "\n", sep = "")
     print_diagnostics(x$diagnostics, digits = digits, ...)
-    cat("\n", "Final","\n",sep="")
+    cat("\n", "Final", "\n", sep = "")
     print(x$final, digits = digits, ...)
     return(invisible(x))
 }
 
 #' @export
-print.JD3_X13_OUTPUT<- function(x, digits = max(3L, getOption("digits") - 3L), summary_info = getOption("summary_info"),
-                                ...){
-  print(x$result, digits = digits, summary_info = summary_info, ...)
-  return(invisible(x))
+print.JD3_X13_OUTPUT <- function(x, digits = max(3L, getOption("digits") - 3L), summary_info = getOption("summary_info"),
+                                 ...) {
+    print(x$result, digits = digits, summary_info = summary_info, ...)
+    return(invisible(x))
 }
 
 #' @export
 print.JD3X11 <- function(x, ...) {
-  table <- do.call(cbind, x[grepl(pattern = "^d(\\d+)$", x = names(x))])
+    table <- do.call(cbind, x[grepl(pattern = "^d(\\d+)$", x = names(x))])
 
-  cat("Last values\n")
-  print(utils::tail(stats::.preformat.ts(table)))
+    cat("Last values\n")
+    print(utils::tail(stats::.preformat.ts(table)))
 
-  return(invisible(x))
+    return(invisible(x))
 }
 
 
 #' @export
 plot.JD3_X13_RSLTS <- function(x, first_date = NULL, last_date = NULL,
                                type_chart = c("sa-trend", "seas-irr"),
-                               caption = c("sa-trend" = "Y, Sa, trend",
-                                           "seas-irr" = "Sea., irr.")[type_chart],
-                               colors = c(y = "#F0B400", t = "#1E6C0B", sa = "#155692",
-                                          s = "#1E6C0B", i = "#155692"),
-                               ...){
-  plot(rjd3toolkit::sa_decomposition(x),
-       first_date = first_date, last_date = last_date,
-       type_chart = type_chart,
-       caption = caption,
-       colors = colors,
-       ...)
+                               caption = c(
+                                   "sa-trend" = "Y, Sa, trend",
+                                   "seas-irr" = "Sea., irr."
+                               )[type_chart],
+                               colors = c(
+                                   y = "#F0B400", t = "#1E6C0B", sa = "#155692",
+                                   s = "#1E6C0B", i = "#155692"
+                               ),
+                               ...) {
+    plot(rjd3toolkit::sa_decomposition(x),
+        first_date = first_date, last_date = last_date,
+        type_chart = type_chart,
+        caption = caption,
+        colors = colors,
+        ...
+    )
 }
 #' @export
 plot.JD3_X13_OUTPUT <- function(x, first_date = NULL, last_date = NULL,
-                               type_chart = c("sa-trend", "seas-irr"),
-                               caption = c("sa-trend" = "Y, Sa, trend",
-                                           "seas-irr" = "Sea., irr.")[type_chart],
-                               colors = c(y = "#F0B400", t = "#1E6C0B", sa = "#155692",
-                                          s = "#1E6C0B", i = "#155692"),
-                               ...){
-  plot(x$result,
-       first_date = first_date, last_date = last_date,
-       type_chart = type_chart,
-       caption = caption,
-       colors = colors,
-       ...)
+                                type_chart = c("sa-trend", "seas-irr"),
+                                caption = c(
+                                    "sa-trend" = "Y, Sa, trend",
+                                    "seas-irr" = "Sea., irr."
+                                )[type_chart],
+                                colors = c(
+                                    y = "#F0B400", t = "#1E6C0B", sa = "#155692",
+                                    s = "#1E6C0B", i = "#155692"
+                                ),
+                                ...) {
+    plot(x$result,
+        first_date = first_date, last_date = last_date,
+        type_chart = type_chart,
+        caption = caption,
+        colors = colors,
+        ...
+    )
 }
 
 #' @importFrom rjd3toolkit diagnostics
 #' @export
-diagnostics.JD3_X13_RSLTS<-function(x, ...){
-  if (is.null(x)) return(NULL)
-  variance_decomposition <- x$diagnostics$vardecomposition
-  variance_decomposition <- matrix(unlist(variance_decomposition),
-                                  ncol = 1,
-                                  dimnames = list(names(variance_decomposition), "Component"))
-  residual_tests <- x$diagnostics[grep("test", names(x$diagnostics))]
-  residual_tests <- data.frame(Statistic = sapply(residual_tests, function(test) test[["value"]]),
-                              P.value = sapply(residual_tests, function(test) test[["pvalue"]]),
-                              Description =  sapply(residual_tests, function(test) attr(test, "distribution")))
-  list(preprocessing = rjd3toolkit::diagnostics(x$preprocessing),
-       variance_decomposition = variance_decomposition,
-       residual_tests = residual_tests)
+diagnostics.JD3_X13_RSLTS <- function(x, ...) {
+    if (is.null(x)) {
+        return(NULL)
+    }
+    variance_decomposition <- x$diagnostics$vardecomposition
+    variance_decomposition <- matrix(unlist(variance_decomposition),
+        ncol = 1,
+        dimnames = list(names(variance_decomposition), "Component")
+    )
+    residual_tests <- x$diagnostics[grep("test", names(x$diagnostics))]
+    residual_tests <- data.frame(
+        Statistic = sapply(residual_tests, function(test) test[["value"]]),
+        P.value = sapply(residual_tests, function(test) test[["pvalue"]]),
+        Description = sapply(residual_tests, function(test) attr(test, "distribution"))
+    )
+    list(
+        preprocessing = rjd3toolkit::diagnostics(x$preprocessing),
+        variance_decomposition = variance_decomposition,
+        residual_tests = residual_tests
+    )
 }
 
 #' @export
-diagnostics.JD3_X13_OUTPUT<-function(x, ...){
-  return(rjd3toolkit::diagnostics(x$result, ...))
+diagnostics.JD3_X13_OUTPUT <- function(x, ...) {
+    return(rjd3toolkit::diagnostics(x$result, ...))
 }
 
 
 #' @export
 print.JD3_REGARIMA_SPEC <- function(x, ...) {
-
     cat("Specification", "\n", sep = "")
 
 
@@ -212,7 +241,9 @@ print.JD3_REGARIMA_SPEC <- function(x, ...) {
             message("Trading days regressor unknown.")
         }
         cat("with Leap Year: ",
-            ifelse(x$regression$td$lp == "LEAPYEAR", "Yes", "No"), "\n", sep = "")
+            ifelse(x$regression$td$lp == "LEAPYEAR", "Yes", "No"), "\n",
+            sep = ""
+        )
         cat("AutoAdjust: ", x$regression$td$autoadjust, "\n", sep = "")
         cat("Test: ", x$regression$td$test, "\n", sep = "")
     }
@@ -229,8 +260,10 @@ print.JD3_REGARIMA_SPEC <- function(x, ...) {
 
         if (!is.null(x$regression$easter$coef)) {
             cat("Coef:\n")
-            cat("\t- Type:", x$regression$easter$coefficient$type,
-                ifelse(x$regression$easter$coefficient$type == "FIXED", "(Auto)", ""), "\n")
+            cat(
+                "\t- Type:", x$regression$easter$coefficient$type,
+                ifelse(x$regression$easter$coefficient$type == "FIXED", "(Auto)", ""), "\n"
+            )
             cat("\t- Value:", x$regression$easter$coefficient$value, "\n")
         }
     }
@@ -242,7 +275,9 @@ print.JD3_REGARIMA_SPEC <- function(x, ...) {
         for (out in x$regression$outliers) {
             cat("\t- ", out$name,
                 ifelse(is.null(out$coef), "", paste0(", coefficient: ", out$coef$value, " (", out$coef$type, ")")),
-                "\n", sep = "")
+                "\n",
+                sep = ""
+            )
         }
     }
     cat("Ramps: ")
@@ -250,7 +285,9 @@ print.JD3_REGARIMA_SPEC <- function(x, ...) {
         cat("\n")
         for (ramp in x$regression$ramps) {
             cat("\t- start: ", ramp$start, ", end : ", ramp$end,
-                ifelse(is.null(ramp$coef), "", paste0(", coefficient: ", ramp$coef, " (", ramp$coef$type, ")")), sep = "")
+                ifelse(is.null(ramp$coef), "", paste0(", coefficient: ", ramp$coef, " (", ramp$coef$type, ")")),
+                sep = ""
+            )
             cat("\n")
         }
     } else {
@@ -262,7 +299,9 @@ print.JD3_REGARIMA_SPEC <- function(x, ...) {
         for (uv in x$regression$users) {
             cat("\t-", uv$name,
                 ifelse(is.null(uv$coef), "", paste0(", coefficient: ", uv$coef)),
-                ", component: ", uv$regeffect, "\n", sep = "")
+                ", component: ", uv$regeffect, "\n",
+                sep = ""
+            )
         }
     }
 
@@ -293,16 +332,17 @@ print.JD3_REGARIMA_SPEC <- function(x, ...) {
 
 #' @export
 print.JD3_X11_SPEC <- function(x, ...) {
-
     cat("Specification X11", "\n", sep = "")
 
 
     cat("Seasonal component: ", ifelse(x$seasonal, "Yes", "No"), "\n", sep = "")
     cat("Length of the Henderson filter: ", x$henderson, "\n", sep = "")
     cat("Seasonal filter: ", x$sfilters, "\n", sep = "")
-    cat("Boundaries used for extreme values correction :",
+    cat(
+        "Boundaries used for extreme values correction :",
         "\n\t lower_sigma: ", x$lsig,
-        "\n\t upper_sigma: ", x$usig)
+        "\n\t upper_sigma: ", x$usig
+    )
     cat("\n")
     cat("Nb of forecasts: ", x$nfcasts, "\n", sep = "")
     cat("Nb of backcasts: ", x$nbcasts, "\n", sep = "")
@@ -313,7 +353,6 @@ print.JD3_X11_SPEC <- function(x, ...) {
 
 #' @export
 print.JD3_X13_SPEC <- function(x, ...) {
-
     print(x$regarima)
 
     cat("\n")
diff --git a/R/regarima_generic.R b/R/regarima_generic.R
index e222eca..22e72de 100644
--- a/R/regarima_generic.R
+++ b/R/regarima_generic.R
@@ -1,69 +1,69 @@
 #' @importFrom stats coef df.residual logLik residuals vcov nobs
 #' @export
-coef.JD3_REGARIMA_OUTPUT <- function(object, component = c("regression", "arima", "both"), ...){
-  coef(object$result, component = component, ...)
+coef.JD3_REGARIMA_OUTPUT <- function(object, component = c("regression", "arima", "both"), ...) {
+    coef(object$result, component = component, ...)
 }
 #' @export
 logLik.JD3_REGARIMA_OUTPUT <- function(object, ...) {
-  logLik(object$result, ...)
+    logLik(object$result, ...)
 }
 #' @export
-vcov.JD3_REGARIMA_OUTPUT <- function(object, ...){
-  vcov(object$result, ...)
+vcov.JD3_REGARIMA_OUTPUT <- function(object, ...) {
+    vcov(object$result, ...)
 }
 #' @export
-df.residual.JD3_REGARIMA_OUTPUT <- function(object, ...){
-  df.residual(object$result, ...)
+df.residual.JD3_REGARIMA_OUTPUT <- function(object, ...) {
+    df.residual(object$result, ...)
 }
 #' @export
-nobs.JD3_REGARIMA_OUTPUT <- function(object, ...){
-  nobs(object$result, ...)
+nobs.JD3_REGARIMA_OUTPUT <- function(object, ...) {
+    nobs(object$result, ...)
 }
 #' @export
-residuals.JD3_REGARIMA_OUTPUT <- function(object, ...){
-  residuals(object$result, ...)
+residuals.JD3_REGARIMA_OUTPUT <- function(object, ...) {
+    residuals(object$result, ...)
 }
 #' @export
-summary.JD3_REGARIMA_OUTPUT <- function(object, ...){
-  x <- summary(object$result, ...)
-  x$method <- "RegARIMA"
-  x
+summary.JD3_REGARIMA_OUTPUT <- function(object, ...) {
+    x <- summary(object$result, ...)
+    x$method <- "RegARIMA"
+    x
 }
 #' @export
-print.JD3_REGARIMA_OUTPUT <- function(x, summary_info = getOption("summary_info"), ...){
-  cat("Method: RegARIMA\n")
-  print(x$result, summary_info = summary_info, ...)
+print.JD3_REGARIMA_OUTPUT <- function(x, summary_info = getOption("summary_info"), ...) {
+    cat("Method: RegARIMA\n")
+    print(x$result, summary_info = summary_info, ...)
 }
 #' @export
-diagnostics.JD3_REGARIMA_OUTPUT <- function(x, ...){
-  diagnostics(x$result, ...)
+diagnostics.JD3_REGARIMA_OUTPUT <- function(x, ...) {
+    diagnostics(x$result, ...)
 }
 
 #' @export
-coef.JD3_X13_OUTPUT <- function(object, component = c("regression", "arima", "both"), ...){
-  coef(object$result$preprocessing, component = component, ...)
+coef.JD3_X13_OUTPUT <- function(object, component = c("regression", "arima", "both"), ...) {
+    coef(object$result$preprocessing, component = component, ...)
 }
 #' @export
 logLik.JD3_X13_OUTPUT <- function(object, ...) {
-  logLik(object$result$preprocessing, ...)
+    logLik(object$result$preprocessing, ...)
 }
 #' @export
-vcov.JD3_X13_OUTPUT <- function(object, ...){
-  vcov(object$result$preprocessing, ...)
+vcov.JD3_X13_OUTPUT <- function(object, ...) {
+    vcov(object$result$preprocessing, ...)
 }
 #' @export
-df.residual.JD3_X13_OUTPUT <- function(object, ...){
-  df.residual(object$result$preprocessing, ...)
+df.residual.JD3_X13_OUTPUT <- function(object, ...) {
+    df.residual(object$result$preprocessing, ...)
 }
 #' @export
-nobs.JD3_X13_OUTPUT <- function(object, ...){
-  nobs(object$result$preprocessing, ...)
+nobs.JD3_X13_OUTPUT <- function(object, ...) {
+    nobs(object$result$preprocessing, ...)
 }
 #' @export
-residuals.JD3_X13_OUTPUT <- function(object, ...){
-  residuals(object$result$preprocessing, ...)
+residuals.JD3_X13_OUTPUT <- function(object, ...) {
+    residuals(object$result$preprocessing, ...)
 }
 #' @export
-residuals.JD3_X13_OUTPUT <- function(object, ...){
-  residuals(object$result$preprocessing, ...)
+residuals.JD3_X13_OUTPUT <- function(object, ...) {
+    residuals(object$result$preprocessing, ...)
 }
diff --git a/R/regarima_outliers.R b/R/regarima_outliers.R
index 6a566ee..62fe660 100644
--- a/R/regarima_outliers.R
+++ b/R/regarima_outliers.R
@@ -20,35 +20,40 @@ NULL
 #' regarima_outliers(rjd3toolkit::ABS$X0.2.09.10.M)
 #'
 #' @export
-regarima_outliers<-function(y, order=c(0L,1L,1L), seasonal=c(0L,1L,1L), mean=FALSE,
-                        X=NULL, X.td=NULL, ao=TRUE, ls=TRUE, tc=FALSE, so=FALSE, cv=0, clean = FALSE){
-  if (!is.ts(y)){
-    stop("y must be a time series")
-  }
-  if (! is.null(X.td)){
-    sy<-start(y)
-    td<-rjd3toolkit::td(s = y, groups = X.td)
-    X<-cbind(X, td)
-  }
+regarima_outliers <- function(y, order = c(0L, 1L, 1L), seasonal = c(0L, 1L, 1L), mean = FALSE,
+                              X = NULL, X.td = NULL, ao = TRUE, ls = TRUE, tc = FALSE, so = FALSE, cv = 0, clean = FALSE) {
+    if (!is.ts(y)) {
+        stop("y must be a time series")
+    }
+    if (!is.null(X.td)) {
+        sy <- start(y)
+        td <- rjd3toolkit::td(s = y, groups = X.td)
+        X <- cbind(X, td)
+    }
 
 
-  jregarima<-.jcall("jdplus/x13/base/r/RegArimaOutliersDetection", "Ljdplus/x13/base/r/RegArimaOutliersDetection$Results;", "process",
-                    rjd3toolkit::.r2jd_tsdata(y), as.integer(order), as.integer(seasonal), mean, rjd3toolkit::.r2jd_matrix(X),
-                 ao, ls, tc, so, cv, clean)
-  model<-list(
-    y=rjd3toolkit::.proc_ts(jregarima, "y"),
-    variables=rjd3toolkit::.proc_vector(jregarima, "variables"),
-    X=rjd3toolkit::.proc_matrix(jregarima, "regressors"),
-    b=rjd3toolkit::.proc_vector(jregarima, "b"),
-    bcov=rjd3toolkit::.proc_matrix(jregarima, "bvar"),
-    linearized=rjd3toolkit::.proc_vector(jregarima, "linearized")
-  )
+    jregarima <- .jcall(
+        "jdplus/x13/base/r/RegArimaOutliersDetection", "Ljdplus/x13/base/r/RegArimaOutliersDetection$Results;", "process",
+        rjd3toolkit::.r2jd_tsdata(y), as.integer(order), as.integer(seasonal), mean, rjd3toolkit::.r2jd_matrix(X),
+        ao, ls, tc, so, cv, clean
+    )
+    model <- list(
+        y = rjd3toolkit::.proc_ts(jregarima, "y"),
+        variables = rjd3toolkit::.proc_vector(jregarima, "variables"),
+        X = rjd3toolkit::.proc_matrix(jregarima, "regressors"),
+        b = rjd3toolkit::.proc_vector(jregarima, "b"),
+        bcov = rjd3toolkit::.proc_matrix(jregarima, "bvar"),
+        linearized = rjd3toolkit::.proc_vector(jregarima, "linearized")
+    )
 
-  ll0<-rjd3toolkit::.proc_likelihood(jregarima, "initiallikelihood.")
-  ll1<-rjd3toolkit::.proc_likelihood(jregarima, "finallikelihood.")
+    ll0 <- rjd3toolkit::.proc_likelihood(jregarima, "initiallikelihood.")
+    ll1 <- rjd3toolkit::.proc_likelihood(jregarima, "finallikelihood.")
 
-  return(structure(list(
-    model=model,
-    likelihood=list(initial=ll0, final=ll1)),
-    class="JD3_REGARIMA_OUTLIERS"))
+    return(structure(
+        list(
+            model = model,
+            likelihood = list(initial = ll0, final = ll1)
+        ),
+        class = "JD3_REGARIMA_OUTLIERS"
+    ))
 }
diff --git a/R/regarima_spec.R b/R/regarima_spec.R
index 17b6a2e..76aa33e 100644
--- a/R/regarima_spec.R
+++ b/R/regarima_spec.R
@@ -1,111 +1,137 @@
 #' @importFrom rjd3toolkit add_outlier
 #' @export
 add_outlier.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- add_outlier(x$regarima,
-                            ...)
-  x
+                                     ...) {
+    x$regarima <- add_outlier(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit remove_outlier
 #' @export
 remove_outlier.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- remove_outlier(x$regarima,
-                            ...)
-  x
+                                        ...) {
+    x$regarima <- remove_outlier(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit add_ramp
 #' @export
 add_ramp.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- add_ramp(x$regarima,
-                            ...)
-  x
+                                  ...) {
+    x$regarima <- add_ramp(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit remove_ramp
 #' @export
 remove_ramp.JD3_X13_SPEC <- function(x,
-                                  ...){
-  x$regarima <- remove_ramp(x$regarima,
-                         ...)
-  x
+                                     ...) {
+    x$regarima <- remove_ramp(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_arima
 #' @export
 set_arima.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- set_arima(x$regarima,
-                            ...)
-  x
+                                   ...) {
+    x$regarima <- set_arima(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_automodel
 #' @export
 set_automodel.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- set_automodel(x$regarima,
-                            ...)
-  x
+                                       ...) {
+    x$regarima <- set_automodel(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_easter
 #' @export
 set_easter.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- set_easter(x$regarima,
-                            ...)
-  x
+                                    ...) {
+    x$regarima <- set_easter(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_estimate
 #' @export
 set_estimate.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- set_estimate(x$regarima,
-                            ...)
-  x
+                                      ...) {
+    x$regarima <- set_estimate(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_basic
 #' @export
 set_basic.JD3_X13_SPEC <- function(x,
-                                      ...){
-  x$regarima <- set_basic(x$regarima,
-                             ...)
-  x
+                                   ...) {
+    x$regarima <- set_basic(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_outlier
 #' @export
 set_outlier.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- set_outlier(x$regarima,
-                            ...)
-  x
+                                     ...) {
+    x$regarima <- set_outlier(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_tradingdays
 #' @export
 set_tradingdays.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- set_tradingdays(x$regarima,
-                            ...)
-  x
+                                         ...) {
+    x$regarima <- set_tradingdays(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_transform
 #' @export
 set_transform.JD3_X13_SPEC <- function(x,
-                                     ...){
-  x$regarima <- set_transform(x$regarima,
-                            ...)
-  x
+                                       ...) {
+    x$regarima <- set_transform(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit add_usrdefvar
 #' @export
 add_usrdefvar.JD3_X13_SPEC <- function(x,
-                                       ...){
-  x$regarima <- add_usrdefvar(x$regarima,
-                              ...)
-  x
+                                       ...) {
+    x$regarima <- add_usrdefvar(
+        x$regarima,
+        ...
+    )
+    x
 }
 #' @importFrom rjd3toolkit set_benchmarking
 #' @export
 set_benchmarking.JD3_X13_SPEC <- function(x, ...) {
-  x$benchmarking <- set_benchmarking(x$benchmarking, ...)
+    x$benchmarking <- set_benchmarking(x$benchmarking, ...)
 
-  x
+    x
 }
diff --git a/R/revisions.R b/R/revisions.R
index bd7a881..d70ea5f 100644
--- a/R/revisions.R
+++ b/R/revisions.R
@@ -1,10 +1,12 @@
 #' @include utils.R x13_spec.R x13_rslts.R
 NULL
 
-.jrevisions<-function(jts, jspec, jcontext){
-  jrslt<-.jcall("jdplus/x13/base/r/X13RevisionHistory",
-                "Ljdplus/toolkit/base/r/timeseries/Revisions;", "revisions", jts, jspec, jcontext)
-  return(jrslt)
+.jrevisions <- function(jts, jspec, jcontext) {
+    jrslt <- .jcall(
+        "jdplus/x13/base/r/X13RevisionHistory",
+        "Ljdplus/toolkit/base/r/timeseries/Revisions;", "revisions", jts, jspec, jcontext
+    )
+    return(jrslt)
 }
 
 
@@ -38,55 +40,58 @@ NULL
 #' s <- rjd3toolkit::ABS$X0.2.09.10.M
 #' sa_mod <- x13(s)
 #' data_ids <- list(
-#'   # Get the coefficient of the trading-day coefficient from 2005-jan
-#'   list(start = "2005-01-01", id = "regression.td(1)"),
-#'   # Get the ljung-box statistics on residuals from 2010-jan
-#'   list(start = "2010-01-01", id = "residuals.lb"))
+#'     # Get the coefficient of the trading-day coefficient from 2005-jan
+#'     list(start = "2005-01-01", id = "regression.td(1)"),
+#'     # Get the ljung-box statistics on residuals from 2010-jan
+#'     list(start = "2010-01-01", id = "residuals.lb")
+#' )
 #' ts_ids <- list(
-#'   # Get the SA component estimates of 2010-jan from 2010-jan
-#'   list(period = "2010-01-01", start = "2010-01-01", id = "sa"),
-#'   # Get the irregular component estimates of 2010-jan from 2015-jan
-#'   list(period = "2010-01-01", start = "2015-01-01", id = "i"))
+#'     # Get the SA component estimates of 2010-jan from 2010-jan
+#'     list(period = "2010-01-01", start = "2010-01-01", id = "sa"),
+#'     # Get the irregular component estimates of 2010-jan from 2015-jan
+#'     list(period = "2010-01-01", start = "2015-01-01", id = "i")
+#' )
 #' cmp_ids <- list(
-#'   # Get the SA component estimates (full time series) 2010-jan to 2020-jan
-#'   list(start = "2010-01-01", end = "2020-01-01", id = "sa"),
-#'   # Get the trend component estimates (full time series)  2010-jan to 2020-jan
-#'   list(start = "2010-01-01", end = "2020-01-01", id = "t"))
+#'     # Get the SA component estimates (full time series) 2010-jan to 2020-jan
+#'     list(start = "2010-01-01", end = "2020-01-01", id = "sa"),
+#'     # Get the trend component estimates (full time series)  2010-jan to 2020-jan
+#'     list(start = "2010-01-01", end = "2020-01-01", id = "t")
+#' )
 #' rh <- x13_revisions(s, sa_mod$result_spec, data_ids, ts_ids, cmp_ids)
 #' @export
-x13_revisions<-function(ts, spec, data_ids=NULL, ts_ids=NULL, cmp_ids=NULL, context=NULL){
-  jts<-rjd3toolkit::.r2jd_tsdata(ts)
-  jspec<-.r2jd_spec_x13(spec)
-  if (is.null(context)){
-    jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
-  } else {
-    jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
-  }
-  ldata<-NULL
-  jr<-.jrevisions(jts, jspec, jcontext)
-  if (! is.null(data_ids)){
-    ldata<-lapply(data_ids, function(data_id){
-      w<-.jcall(jr, "Ljdplus/toolkit/base/api/timeseries/TsData;", "history", data_id$id, data_id$start)
-      return(rjd3toolkit::.jd2r_tsdata(w))
-    })
-    names(ldata) <- sapply(data_ids, `[[`,"id")
-  }
-  lts<-NULL
-  if (! is.null(ts_ids)){
-    lts<-lapply(ts_ids, function(ts_id){
-      w<-.jcall(jr, "Ljdplus/toolkit/base/api/timeseries/TsData;", "tsHistory", ts_id$id, ts_id$period, ts_id$start)
-      return(rjd3toolkit::.jd2r_tsdata(w))
-    })
-   names(lts) <- sapply(ts_ids, `[[`,"id")
-  }
-  lcmp<-NULL
-  if (! is.null(cmp_ids)){
-    lcmp<-lapply(cmp_ids, function(cmp_id){
-      w<-.jcall(jr, "Ljdplus/toolkit/base/api/timeseries/TsDataTable;", "tsSelect", cmp_id$id, cmp_id$start, cmp_id$end)
-      return(rjd3toolkit::.jd2r_mts(w))
-    })
-    names(lcmp) <- sapply(cmp_ids, `[[`,"id")
-  }
+x13_revisions <- function(ts, spec, data_ids = NULL, ts_ids = NULL, cmp_ids = NULL, context = NULL) {
+    jts <- rjd3toolkit::.r2jd_tsdata(ts)
+    jspec <- .r2jd_spec_x13(spec)
+    if (is.null(context)) {
+        jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+    } else {
+        jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+    }
+    ldata <- NULL
+    jr <- .jrevisions(jts, jspec, jcontext)
+    if (!is.null(data_ids)) {
+        ldata <- lapply(data_ids, function(data_id) {
+            w <- .jcall(jr, "Ljdplus/toolkit/base/api/timeseries/TsData;", "history", data_id$id, data_id$start)
+            return(rjd3toolkit::.jd2r_tsdata(w))
+        })
+        names(ldata) <- sapply(data_ids, `[[`, "id")
+    }
+    lts <- NULL
+    if (!is.null(ts_ids)) {
+        lts <- lapply(ts_ids, function(ts_id) {
+            w <- .jcall(jr, "Ljdplus/toolkit/base/api/timeseries/TsData;", "tsHistory", ts_id$id, ts_id$period, ts_id$start)
+            return(rjd3toolkit::.jd2r_tsdata(w))
+        })
+        names(lts) <- sapply(ts_ids, `[[`, "id")
+    }
+    lcmp <- NULL
+    if (!is.null(cmp_ids)) {
+        lcmp <- lapply(cmp_ids, function(cmp_id) {
+            w <- .jcall(jr, "Ljdplus/toolkit/base/api/timeseries/TsDataTable;", "tsSelect", cmp_id$id, cmp_id$start, cmp_id$end)
+            return(rjd3toolkit::.jd2r_mts(w))
+        })
+        names(lcmp) <- sapply(cmp_ids, `[[`, "id")
+    }
 
-  return(list(data=ldata, series=lts, components=lcmp))
+    return(list(data = ldata, series = lts, components = lcmp))
 }
diff --git a/R/set_x11_spec.R b/R/set_x11_spec.R
index da04b91..8b83c8e 100644
--- a/R/set_x11_spec.R
+++ b/R/set_x11_spec.R
@@ -1,4 +1,3 @@
-
 #' Set X-11 Specification
 #'
 #' @param x the specification to be modified, object of class "JD3_X11_SPEC", default X11 spec can be obtained as 'x=x11_spec()'
@@ -37,18 +36,19 @@
 #' @examples
 #' init_spec <- x11_spec()
 #' new_spec <- set_x11(init_spec,
-#'                    mode = "LogAdditive",
-#'                    seasonal.comp = 1,
-#'                    seasonal.filter = "S3X9",
-#'                    henderson.filter = 7,
-#'                    lsigma = 1.7,
-#'                    usigma = 2.7,
-#'                    fcasts = -1,
-#'                    bcasts = -1,
-#'                    calendar.sigma ="All",
-#'                    sigma.vector = NA,
-#'                    exclude.forecast = FALSE,
-#'                    bias = "LEGACY")
+#'     mode = "LogAdditive",
+#'     seasonal.comp = 1,
+#'     seasonal.filter = "S3X9",
+#'     henderson.filter = 7,
+#'     lsigma = 1.7,
+#'     usigma = 2.7,
+#'     fcasts = -1,
+#'     bcasts = -1,
+#'     calendar.sigma = "All",
+#'     sigma.vector = NA,
+#'     exclude.forecast = FALSE,
+#'     bias = "LEGACY"
+#' )
 #' @rdname x11_spec
 #' @export
 set_x11 <- function(x,
@@ -63,8 +63,8 @@ set_x11 <- function(x,
                     calendar.sigma = c(NA, "None", "Signif", "All", "Select"),
                     sigma.vector = NA,
                     exclude.forecast = NA,
-                    bias = c(NA, "LEGACY")){
-  UseMethod("set_x11", x)
+                    bias = c(NA, "LEGACY")) {
+    UseMethod("set_x11", x)
 }
 #' @export
 set_x11.JD3_X11_SPEC <- function(x,
@@ -80,75 +80,85 @@ set_x11.JD3_X11_SPEC <- function(x,
                                  sigma.vector = NA,
                                  exclude.forecast = NA,
                                  bias = c(NA, "LEGACY")) {
+    mode <- match.arg(
+        toupper(mode[1]),
+        c(
+            NA, "UNDEFINED", "ADDITIVE", "MULTIPLICATIVE",
+            "LOGADDITIVE", "PSEUDOADDITIVE"
+        )
+    )
+    calendar.sigma <- match.arg(
+        toupper(calendar.sigma[1]),
+        c(NA, "NONE", "SIGNIF", "ALL", "SELECT")
+    )
+    seasonal.filter <- match.arg(toupper(seasonal.filter),
+        choices = c(
+            NA, "MSR", "STABLE", "X11DEFAULT",
+            "S3X1", "S3X3", "S3X5", "S3X9", "S3X15"
+        ),
+        several.ok = TRUE
+    )
+    bias <- match.arg(
+        toupper(bias),
+        c(NA, "LEGACY")
+    )
+    if (!is.na(mode)) {
+        x$mode <- switch(mode,
+            UNDEFINED = "UNKNOWN",
+            mode
+        )
+    }
 
-  mode <- match.arg(toupper(mode[1]),
-                    c(NA, "UNDEFINED", "ADDITIVE", "MULTIPLICATIVE",
-                      "LOGADDITIVE", "PSEUDOADDITIVE"))
-  calendar.sigma <- match.arg(toupper(calendar.sigma[1]),
-                              c(NA, "NONE", "SIGNIF", "ALL", "SELECT"))
-  seasonal.filter <- match.arg(toupper(seasonal.filter),
-                               choices = c(NA, "MSR", "STABLE", "X11DEFAULT",
-                                           "S3X1", "S3X3", "S3X5", "S3X9", "S3X15"),
-                               several.ok = TRUE
-  )
-  bias <- match.arg(toupper(bias),
-                    c(NA, "LEGACY"))
-  if (!is.na(mode)) {
-    x$mode <- switch(mode,
-                     UNDEFINED = "UNKNOWN",
-                     mode)
-  }
-
-  if (!is.na(seasonal.comp) && is.logical(seasonal.comp)) {
-    x$seasonal <- seasonal.comp
-  }
+    if (!is.na(seasonal.comp) && is.logical(seasonal.comp)) {
+        x$seasonal <- seasonal.comp
+    }
 
-  if (!any(is.na(seasonal.filter))) {
-    x$sfilters <- sprintf("FILTER_%s", seasonal.filter)
-  }
-  if (!is.na(henderson.filter)) {
-    if ((henderson.filter != 0) && (henderson.filter %% 2 == 0)) {
-      warning("The variable henderson.filter should be an odd number or equal to 0.", call. = FALSE)
-    } else {
-      x$henderson <- henderson.filter
+    if (!anyNA(seasonal.filter)) {
+        x$sfilters <- sprintf("FILTER_%s", seasonal.filter)
+    }
+    if (!is.na(henderson.filter)) {
+        if ((henderson.filter != 0) && (henderson.filter %% 2 == 0)) {
+            warning("The variable henderson.filter should be an odd number or equal to 0.", call. = FALSE)
+        } else {
+            x$henderson <- henderson.filter
+        }
     }
-  }
 
-  if (!is.na(lsigma)) {
-    x$lsig <- lsigma
-  }
-  if (!is.na(usigma)) {
-    x$usig <- usigma
-  }
+    if (!is.na(lsigma)) {
+        x$lsig <- lsigma
+    }
+    if (!is.na(usigma)) {
+        x$usig <- usigma
+    }
 
-  if (!is.na(bcasts)) {
-    x$nbcasts <- bcasts
-  }
-  if (!is.na(fcasts)) {
-    x$nfcasts <- fcasts
-  }
-  if (!is.na(calendar.sigma)) {
-    x$sigma <- calendar.sigma
-  }
-  if (!is.na(exclude.forecast) && is.logical(exclude.forecast)) {
-    x$excludefcasts <- exclude.forecast
-  }
-  if (!any(is.na(sigma.vector))) {
-    if (!all(sigma.vector %in% c(1, 2))) {
-      warning("sigma.vector must be equal to 1 or 2")
-    }  else {
-      x$sigma <- "SELECT"
-      x$vsigmas <- as.integer(sigma.vector)
+    if (!is.na(bcasts)) {
+        x$nbcasts <- bcasts
+    }
+    if (!is.na(fcasts)) {
+        x$nfcasts <- fcasts
+    }
+    if (!is.na(calendar.sigma)) {
+        x$sigma <- calendar.sigma
+    }
+    if (!is.na(exclude.forecast) && is.logical(exclude.forecast)) {
+        x$excludefcasts <- exclude.forecast
+    }
+    if (!anyNA(sigma.vector)) {
+        if (!all(sigma.vector %in% c(1, 2))) {
+            warning("sigma.vector must be equal to 1 or 2")
+        } else {
+            x$sigma <- "SELECT"
+            x$vsigmas <- as.integer(sigma.vector)
+        }
+    }
+    if (!is.na(bias)) {
+        x$bias <- bias
     }
-  }
-  if (!is.na(bias)) {
-    x$bias <- bias
-  }
-  x
+    x
 }
 
 #' @export
 set_x11.JD3_X13_SPEC <- function(x, ...) {
-  x$x11 <- set_x11(x$x11, ...)
-  x
+    x$x11 <- set_x11(x$x11, ...)
+    x
 }
diff --git a/R/udvar.R b/R/udvar.R
index f59b725..5f50d9d 100644
--- a/R/udvar.R
+++ b/R/udvar.R
@@ -1,20 +1,20 @@
-.add_ud_var <- function(x, jx, userdefined = NULL, out_class = NULL, result = FALSE){
-  if (is.null(userdefined)) {
-    x$user_defined <- rjd3toolkit::user_defined(x, NULL)
-  } else {
-    if (result) {
-      res <- jx
+.add_ud_var <- function(x, jx, userdefined = NULL, out_class = NULL, result = FALSE) {
+    if (is.null(userdefined)) {
+        x$user_defined <- rjd3toolkit::user_defined(x, NULL)
     } else {
-      if (is.null(out_class)) {
-        res <- jx$getResult()
-      } else {
-        res <- .jcall(jx, out_class, "getResult")
-      }
+        if (result) {
+            res <- jx
+        } else {
+            if (is.null(out_class)) {
+                res <- jx$getResult()
+            } else {
+                res <- .jcall(jx, out_class, "getResult")
+            }
+        }
+        res <- rjd3toolkit::.jd3_object(res, result = TRUE)
+        x$user_defined <- rjd3toolkit::user_defined(res, userdefined = userdefined)
     }
-    res <- rjd3toolkit::.jd3_object(res, result = TRUE)
-    x$user_defined <- rjd3toolkit::user_defined(res, userdefined = userdefined)
-  }
-  x
+    x
 }
 
 #' Display a list of all the available output objects
@@ -26,9 +26,9 @@
 #' using the `userdefined` parameter.
 #' User-defined objects can the be retrieved from the list of lists generated by the estimation process
 #'
-#'@param x a character to indicate the estimation function for which the output items list will be displayed.
+#' @param x a character to indicate the estimation function for which the output items list will be displayed.
 #'
-#'@examples
+#' @examples
 #' userdefined_variables_x13("x13")
 #' userdefined_variables_x13("regarima")
 #' userdefined_variables_x13("x11")
@@ -37,165 +37,172 @@
 #' More information and examples related to 'JDemetra+' features in the online documentation:
 #' \url{https://jdemetra-new-documentation.netlify.app/}
 #' @export
-userdefined_variables_x13 <- function(x = c("X-13","RegArima","X-11")){
-  x <- match.arg(gsub("-", "", tolower(x)),
-                 choices = c("x13", "regarima", "x11"))
+userdefined_variables_x13 <- function(x = c("X-13", "RegArima", "X-11")) {
+    x <- match.arg(gsub("-", "", tolower(x)),
+        choices = c("x13", "regarima", "x11")
+    )
 
-  # library(rjd3x13)
-  # jts<-rjd3toolkit::.r2jd_tsdata(rjd3toolkit::ABS$X0.2.09.10.M)
-  # jrslt<- rJava::.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, "RSA3")
-  # rjd3toolkit::dictionary(rjd3toolkit::.jd3_object(jrslt$getResult(), result = TRUE)) |>
-  #   sort() |>
-  #   dput()
+    # library(rjd3x13)
+    # jts<-rjd3toolkit::.r2jd_tsdata(rjd3toolkit::ABS$X0.2.09.10.M)
+    # jrslt<- rJava::.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, "RSA3")
+    # rjd3toolkit::dictionary(rjd3toolkit::.jd3_object(jrslt$getResult(), result = TRUE)) |>
+    #   sort() |>
+    #   dput()
 
-  sa_x13 <- c("adjust", "arima.bd", "arima.bp", "arima.bphi(*)", "arima.bq",
-             "arima.btheta(*)", "arima.d", "arima.p", "arima.phi(*)", "arima.q",
-             "arima.theta(*)", "benchmarking.original", "benchmarking.result",
-             "benchmarking.target", "cal", "cal_b", "cal_b(?)", "cal_f", "cal_f(?)",
-             "decomposition.b1", "decomposition.b10", "decomposition.b11",
-             "decomposition.b13", "decomposition.b17", "decomposition.b2",
-             "decomposition.b20", "decomposition.b3", "decomposition.b4",
-             "decomposition.b5", "decomposition.b6", "decomposition.b7", "decomposition.b8",
-             "decomposition.b9", "decomposition.c1", "decomposition.c10",
-             "decomposition.c11", "decomposition.c13", "decomposition.c17",
-             "decomposition.c2", "decomposition.c20", "decomposition.c4",
-             "decomposition.c5", "decomposition.c6", "decomposition.c7", "decomposition.c9",
-             "decomposition.d1", "decomposition.d10", "decomposition.d11",
-             "decomposition.d12", "decomposition.d13", "decomposition.d2",
-             "decomposition.d4", "decomposition.d5", "decomposition.d6", "decomposition.d7",
-             "decomposition.d8", "decomposition.d9", "decomposition.d9-global-msr",
-             "decomposition.d9-msr", "decomposition.d9-msr-table", "decomposition.i_cmp",
-             "decomposition.s_cmp", "decomposition.s_cmp_b", "decomposition.s_cmp_f",
-             "decomposition.sa_cmp", "decomposition.sa_cmp_b", "decomposition.sa_cmp_f",
-             "decomposition.seasonal-filters", "decomposition.si_cmp", "decomposition.t_cmp",
-             "decomposition.t_cmp_b", "decomposition.t_cmp_f", "decomposition.trend-filter",
-             "decomposition.x11-all", "decomposition.y_cmp", "decomposition.y_cmp_b",
-             "decomposition.y_cmp_f", "det", "det_b(?)", "det_f(?)", "det_i",
-             "det_i_b(?)", "det_i_f(?)", "det_s", "det_s_b(?)", "det_s_f(?)",
-             "det_t", "det_t_b(?)", "det_t_f(?)", "diagnostics.fcast-insample-mean",
-             "diagnostics.fcast-outsample-mean", "diagnostics.fcast-outsample-variance",
-             "diagnostics.seas-i-combined", "diagnostics.seas-i-combined3",
-             "diagnostics.seas-i-evolutive", "diagnostics.seas-i-f", "diagnostics.seas-i-friedman",
-             "diagnostics.seas-i-kw", "diagnostics.seas-i-periodogram", "diagnostics.seas-i-qs",
-             "diagnostics.seas-i-spectralpeaks", "diagnostics.seas-i-stable",
-             "diagnostics.seas-lin-combined", "diagnostics.seas-lin-evolutive",
-             "diagnostics.seas-lin-f", "diagnostics.seas-lin-friedman", "diagnostics.seas-lin-kw",
-             "diagnostics.seas-lin-periodogram", "diagnostics.seas-lin-qs",
-             "diagnostics.seas-lin-spectralpeaks", "diagnostics.seas-lin-stable",
-             "diagnostics.seas-res-combined", "diagnostics.seas-res-combined3",
-             "diagnostics.seas-res-evolutive", "diagnostics.seas-res-f", "diagnostics.seas-res-friedman",
-             "diagnostics.seas-res-kw", "diagnostics.seas-res-periodogram",
-             "diagnostics.seas-res-qs", "diagnostics.seas-res-spectralpeaks",
-             "diagnostics.seas-res-stable", "diagnostics.seas-sa-ac1", "diagnostics.seas-sa-combined",
-             "diagnostics.seas-sa-combined3", "diagnostics.seas-sa-evolutive",
-             "diagnostics.seas-sa-f", "diagnostics.seas-sa-friedman", "diagnostics.seas-sa-kw",
-             "diagnostics.seas-sa-periodogram", "diagnostics.seas-sa-qs",
-             "diagnostics.seas-sa-spectralpeaks", "diagnostics.seas-sa-stable",
-             "diagnostics.seas-si-combined", "diagnostics.seas-si-combined3",
-             "diagnostics.seas-si-evolutive", "diagnostics.seas-si-stable",
-             "diagnostics.td-i-all", "diagnostics.td-i-last", "diagnostics.td-res-all",
-             "diagnostics.td-res-last", "diagnostics.td-sa-all", "diagnostics.td-sa-last",
-             "ee", "ee_b(?)", "ee_f(?)", "finals.d11", "finals.d11a", "finals.d11b",
-             "finals.d12", "finals.d12a", "finals.d12b", "finals.d13", "finals.d16",
-             "finals.d16a", "finals.d16b", "finals.d18", "finals.d18a", "finals.d18b",
-             "finals.e1", "finals.e11", "finals.e2", "finals.e3", "i", "l",
-             "likelihood.adjustedll", "likelihood.aic", "likelihood.aicc",
-             "likelihood.bic", "likelihood.bic2", "likelihood.bicc", "likelihood.df",
-             "likelihood.hannanquinn", "likelihood.ll", "likelihood.neffectiveobs",
-             "likelihood.nobs", "likelihood.nparams", "likelihood.ssqerr",
-             "log", "m-statistics.m1", "m-statistics.m10", "m-statistics.m11",
-             "m-statistics.m2", "m-statistics.m3", "m-statistics.m4", "m-statistics.m5",
-             "m-statistics.m6", "m-statistics.m7", "m-statistics.m8", "m-statistics.m9",
-             "m-statistics.q", "m-statistics.q-m2", "mhe", "mhe_b(?)", "mhe_f(?)",
-             "omhe", "omhe_b(?)", "omhe_f(?)", "out", "out_b(?)", "out_f(?)",
-             "out_i", "out_i_b(?)", "out_i_f(?)", "out_s", "out_s_b(?)", "out_s_f(?)",
-             "out_t", "out_t_b(?)", "out_t_f(?)", "period", "preadjustment.a1",
-             "preadjustment.a1a", "preadjustment.a1b", "preadjustment.a6",
-             "preadjustment.a7", "preadjustment.a8", "preadjustment.a8i",
-             "preadjustment.a8s", "preadjustment.a8t", "preadjustment.a9",
-             "preadjustment.a9sa", "preadjustment.a9ser", "preadjustment.a9u",
-             "reg_i", "reg_i_b(?)", "reg_i_f(?)", "reg_s", "reg_s_b(?)", "reg_s_f(?)",
-             "reg_sa", "reg_sa_b(?)", "reg_sa_f(?)", "reg_t", "reg_t_b(?)",
-             "reg_t_f(?)", "reg_u", "reg_u_b(?)", "reg_u_f(?)", "reg_y", "reg_y_b(?)",
-             "reg_y_f(?)", "regression.description", "regression.details.coefficients",
-             "regression.details.covar", "regression.details.covar-ml", "regression.easter",
-             "regression.espan.end", "regression.espan.missing", "regression.espan.n",
-             "regression.espan.start", "regression.leaster", "regression.lp",
-             "regression.mean", "regression.missing(*)", "regression.ml.parameters",
-             "regression.ml.pcorr", "regression.ml.pcovar", "regression.ml.pcovar-ml",
-             "regression.ml.pscore", "regression.mu", "regression.nao", "regression.nlp",
-             "regression.nls", "regression.nmh", "regression.nout", "regression.nso",
-             "regression.ntc", "regression.ntd", "regression.nusers", "regression.out(*)",
-             "regression.outlier(*)", "regression.td(*)", "regression.type",
-             "regression.user(*)", "residuals.bp", "residuals.bp2", "residuals.doornikhansen",
-             "residuals.kurtosis", "residuals.lb", "residuals.lb2", "residuals.lruns",
-             "residuals.ludruns", "residuals.mean", "residuals.nruns", "residuals.nudruns",
-             "residuals.res", "residuals.seasbp", "residuals.seaslb", "residuals.ser",
-             "residuals.skewness", "residuals.tsres", "residuals.type", "s",
-             "s_b", "s_f", "sa", "sa_b", "sa_f", "span.end", "span.missing",
-             "span.n", "span.start", "t", "t_b", "t_f", "tde", "tde_b(?)",
-             "tde_f(?)", "variancedecomposition.cycle", "variancedecomposition.irregular",
-             "variancedecomposition.others", "variancedecomposition.seasonality",
-             "variancedecomposition.tdh", "variancedecomposition.total", "y",
-             "y_b", "y_b(?)", "y_eb(?)", "y_ef(?)", "y_f", "y_f(?)", "yc",
-             "ycal", "ycal_f(?)")
+    sa_x13 <- c(
+        "adjust", "arima.bd", "arima.bp", "arima.bphi(*)", "arima.bq",
+        "arima.btheta(*)", "arima.d", "arima.p", "arima.phi(*)", "arima.q",
+        "arima.theta(*)", "benchmarking.original", "benchmarking.result",
+        "benchmarking.target", "cal", "cal_b", "cal_b(?)", "cal_f", "cal_f(?)",
+        "decomposition.b1", "decomposition.b10", "decomposition.b11",
+        "decomposition.b13", "decomposition.b17", "decomposition.b2",
+        "decomposition.b20", "decomposition.b3", "decomposition.b4",
+        "decomposition.b5", "decomposition.b6", "decomposition.b7", "decomposition.b8",
+        "decomposition.b9", "decomposition.c1", "decomposition.c10",
+        "decomposition.c11", "decomposition.c13", "decomposition.c17",
+        "decomposition.c2", "decomposition.c20", "decomposition.c4",
+        "decomposition.c5", "decomposition.c6", "decomposition.c7", "decomposition.c9",
+        "decomposition.d1", "decomposition.d10", "decomposition.d11",
+        "decomposition.d12", "decomposition.d13", "decomposition.d2",
+        "decomposition.d4", "decomposition.d5", "decomposition.d6", "decomposition.d7",
+        "decomposition.d8", "decomposition.d9", "decomposition.d9-global-msr",
+        "decomposition.d9-msr", "decomposition.d9-msr-table", "decomposition.i_cmp",
+        "decomposition.s_cmp", "decomposition.s_cmp_b", "decomposition.s_cmp_f",
+        "decomposition.sa_cmp", "decomposition.sa_cmp_b", "decomposition.sa_cmp_f",
+        "decomposition.seasonal-filters", "decomposition.si_cmp", "decomposition.t_cmp",
+        "decomposition.t_cmp_b", "decomposition.t_cmp_f", "decomposition.trend-filter",
+        "decomposition.x11-all", "decomposition.y_cmp", "decomposition.y_cmp_b",
+        "decomposition.y_cmp_f", "det", "det_b(?)", "det_f(?)", "det_i",
+        "det_i_b(?)", "det_i_f(?)", "det_s", "det_s_b(?)", "det_s_f(?)",
+        "det_t", "det_t_b(?)", "det_t_f(?)", "diagnostics.fcast-insample-mean",
+        "diagnostics.fcast-outsample-mean", "diagnostics.fcast-outsample-variance",
+        "diagnostics.seas-i-combined", "diagnostics.seas-i-combined3",
+        "diagnostics.seas-i-evolutive", "diagnostics.seas-i-f", "diagnostics.seas-i-friedman",
+        "diagnostics.seas-i-kw", "diagnostics.seas-i-periodogram", "diagnostics.seas-i-qs",
+        "diagnostics.seas-i-spectralpeaks", "diagnostics.seas-i-stable",
+        "diagnostics.seas-lin-combined", "diagnostics.seas-lin-evolutive",
+        "diagnostics.seas-lin-f", "diagnostics.seas-lin-friedman", "diagnostics.seas-lin-kw",
+        "diagnostics.seas-lin-periodogram", "diagnostics.seas-lin-qs",
+        "diagnostics.seas-lin-spectralpeaks", "diagnostics.seas-lin-stable",
+        "diagnostics.seas-res-combined", "diagnostics.seas-res-combined3",
+        "diagnostics.seas-res-evolutive", "diagnostics.seas-res-f", "diagnostics.seas-res-friedman",
+        "diagnostics.seas-res-kw", "diagnostics.seas-res-periodogram",
+        "diagnostics.seas-res-qs", "diagnostics.seas-res-spectralpeaks",
+        "diagnostics.seas-res-stable", "diagnostics.seas-sa-ac1", "diagnostics.seas-sa-combined",
+        "diagnostics.seas-sa-combined3", "diagnostics.seas-sa-evolutive",
+        "diagnostics.seas-sa-f", "diagnostics.seas-sa-friedman", "diagnostics.seas-sa-kw",
+        "diagnostics.seas-sa-periodogram", "diagnostics.seas-sa-qs",
+        "diagnostics.seas-sa-spectralpeaks", "diagnostics.seas-sa-stable",
+        "diagnostics.seas-si-combined", "diagnostics.seas-si-combined3",
+        "diagnostics.seas-si-evolutive", "diagnostics.seas-si-stable",
+        "diagnostics.td-i-all", "diagnostics.td-i-last", "diagnostics.td-res-all",
+        "diagnostics.td-res-last", "diagnostics.td-sa-all", "diagnostics.td-sa-last",
+        "ee", "ee_b(?)", "ee_f(?)", "finals.d11", "finals.d11a", "finals.d11b",
+        "finals.d12", "finals.d12a", "finals.d12b", "finals.d13", "finals.d16",
+        "finals.d16a", "finals.d16b", "finals.d18", "finals.d18a", "finals.d18b",
+        "finals.e1", "finals.e11", "finals.e2", "finals.e3", "i", "l",
+        "likelihood.adjustedll", "likelihood.aic", "likelihood.aicc",
+        "likelihood.bic", "likelihood.bic2", "likelihood.bicc", "likelihood.df",
+        "likelihood.hannanquinn", "likelihood.ll", "likelihood.neffectiveobs",
+        "likelihood.nobs", "likelihood.nparams", "likelihood.ssqerr",
+        "log", "m-statistics.m1", "m-statistics.m10", "m-statistics.m11",
+        "m-statistics.m2", "m-statistics.m3", "m-statistics.m4", "m-statistics.m5",
+        "m-statistics.m6", "m-statistics.m7", "m-statistics.m8", "m-statistics.m9",
+        "m-statistics.q", "m-statistics.q-m2", "mhe", "mhe_b(?)", "mhe_f(?)",
+        "omhe", "omhe_b(?)", "omhe_f(?)", "out", "out_b(?)", "out_f(?)",
+        "out_i", "out_i_b(?)", "out_i_f(?)", "out_s", "out_s_b(?)", "out_s_f(?)",
+        "out_t", "out_t_b(?)", "out_t_f(?)", "period", "preadjustment.a1",
+        "preadjustment.a1a", "preadjustment.a1b", "preadjustment.a6",
+        "preadjustment.a7", "preadjustment.a8", "preadjustment.a8i",
+        "preadjustment.a8s", "preadjustment.a8t", "preadjustment.a9",
+        "preadjustment.a9sa", "preadjustment.a9ser", "preadjustment.a9u",
+        "reg_i", "reg_i_b(?)", "reg_i_f(?)", "reg_s", "reg_s_b(?)", "reg_s_f(?)",
+        "reg_sa", "reg_sa_b(?)", "reg_sa_f(?)", "reg_t", "reg_t_b(?)",
+        "reg_t_f(?)", "reg_u", "reg_u_b(?)", "reg_u_f(?)", "reg_y", "reg_y_b(?)",
+        "reg_y_f(?)", "regression.description", "regression.details.coefficients",
+        "regression.details.covar", "regression.details.covar-ml", "regression.easter",
+        "regression.espan.end", "regression.espan.missing", "regression.espan.n",
+        "regression.espan.start", "regression.leaster", "regression.lp",
+        "regression.mean", "regression.missing(*)", "regression.ml.parameters",
+        "regression.ml.pcorr", "regression.ml.pcovar", "regression.ml.pcovar-ml",
+        "regression.ml.pscore", "regression.mu", "regression.nao", "regression.nlp",
+        "regression.nls", "regression.nmh", "regression.nout", "regression.nso",
+        "regression.ntc", "regression.ntd", "regression.nusers", "regression.out(*)",
+        "regression.outlier(*)", "regression.td(*)", "regression.type",
+        "regression.user(*)", "residuals.bp", "residuals.bp2", "residuals.doornikhansen",
+        "residuals.kurtosis", "residuals.lb", "residuals.lb2", "residuals.lruns",
+        "residuals.ludruns", "residuals.mean", "residuals.nruns", "residuals.nudruns",
+        "residuals.res", "residuals.seasbp", "residuals.seaslb", "residuals.ser",
+        "residuals.skewness", "residuals.tsres", "residuals.type", "s",
+        "s_b", "s_f", "sa", "sa_b", "sa_f", "span.end", "span.missing",
+        "span.n", "span.start", "t", "t_b", "t_f", "tde", "tde_b(?)",
+        "tde_f(?)", "variancedecomposition.cycle", "variancedecomposition.irregular",
+        "variancedecomposition.others", "variancedecomposition.seasonality",
+        "variancedecomposition.tdh", "variancedecomposition.total", "y",
+        "y_b", "y_b(?)", "y_eb(?)", "y_ef(?)", "y_f", "y_f(?)", "yc",
+        "ycal", "ycal_f(?)"
+    )
 
-  # jts<-rjd3toolkit::.r2jd_tsdata(rjd3toolkit::ABS$X0.2.09.10.M)
-  # jrslt<- rJava::.jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/core/x13/regarima/RegArimaOutput;", "fullProcess", jts, "RG3")
-  # rjd3toolkit::dictionary(rjd3toolkit::.jd3_object(jrslt$getResult(), result = TRUE)) |>
-  #   sort() |>
-  #   dput()
+    # jts<-rjd3toolkit::.r2jd_tsdata(rjd3toolkit::ABS$X0.2.09.10.M)
+    # jrslt<- rJava::.jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/core/x13/regarima/RegArimaOutput;", "fullProcess", jts, "RG3")
+    # rjd3toolkit::dictionary(rjd3toolkit::.jd3_object(jrslt$getResult(), result = TRUE)) |>
+    #   sort() |>
+    #   dput()
 
-  sa_regarima <- c("adjust", "arima.bd", "arima.bp", "arima.bphi(*)", "arima.bq",
-                  "arima.btheta(*)", "arima.d", "arima.p", "arima.phi(*)", "arima.q",
-                  "arima.theta(*)", "cal", "cal_b(?)", "cal_f(?)", "det", "det_b(?)",
-                  "det_f(?)", "det_i", "det_i_b(?)", "det_i_f(?)", "det_s", "det_s_b(?)",
-                  "det_s_f(?)", "det_t", "det_t_b(?)", "det_t_f(?)", "ee", "ee_b(?)",
-                  "ee_f(?)", "l", "likelihood.adjustedll", "likelihood.aic", "likelihood.aicc",
-                  "likelihood.bic", "likelihood.bic2", "likelihood.bicc", "likelihood.df",
-                  "likelihood.hannanquinn", "likelihood.ll", "likelihood.neffectiveobs",
-                  "likelihood.nobs", "likelihood.nparams", "likelihood.ssqerr",
-                  "log", "mhe", "mhe_b(?)", "mhe_f(?)", "omhe", "omhe_b(?)", "omhe_f(?)",
-                  "out", "out_b(?)", "out_f(?)", "out_i", "out_i_b(?)", "out_i_f(?)",
-                  "out_s", "out_s_b(?)", "out_s_f(?)", "out_t", "out_t_b(?)", "out_t_f(?)",
-                  "period", "reg_i", "reg_i_b(?)", "reg_i_f(?)", "reg_s", "reg_s_b(?)",
-                  "reg_s_f(?)", "reg_sa", "reg_sa_b(?)", "reg_sa_f(?)", "reg_t",
-                  "reg_t_b(?)", "reg_t_f(?)", "reg_u", "reg_u_b(?)", "reg_u_f(?)",
-                  "reg_y", "reg_y_b(?)", "reg_y_f(?)", "regression.description",
-                  "regression.details.coefficients", "regression.details.covar",
-                  "regression.details.covar-ml", "regression.easter", "regression.espan.end",
-                  "regression.espan.missing", "regression.espan.n", "regression.espan.start",
-                  "regression.leaster", "regression.lp", "regression.mean", "regression.missing(*)",
-                  "regression.ml.parameters", "regression.ml.pcorr", "regression.ml.pcovar",
-                  "regression.ml.pcovar-ml", "regression.ml.pscore", "regression.mu",
-                  "regression.nao", "regression.nlp", "regression.nls", "regression.nmh",
-                  "regression.nout", "regression.nso", "regression.ntc", "regression.ntd",
-                  "regression.nusers", "regression.out(*)", "regression.outlier(*)",
-                  "regression.td(*)", "regression.type", "regression.user(*)",
-                  "residuals.bp", "residuals.bp2", "residuals.doornikhansen", "residuals.kurtosis",
-                  "residuals.lb", "residuals.lb2", "residuals.lruns", "residuals.ludruns",
-                  "residuals.mean", "residuals.nruns", "residuals.nudruns", "residuals.res",
-                  "residuals.seasbp", "residuals.seaslb", "residuals.ser", "residuals.skewness",
-                  "residuals.tsres", "residuals.type", "span.end", "span.missing",
-                  "span.n", "span.start", "tde", "tde_b(?)", "tde_f(?)", "y", "y_b(?)",
-                  "y_eb(?)", "y_ef(?)", "y_f(?)", "yc", "ycal", "ycal_f(?)")
+    sa_regarima <- c(
+        "adjust", "arima.bd", "arima.bp", "arima.bphi(*)", "arima.bq",
+        "arima.btheta(*)", "arima.d", "arima.p", "arima.phi(*)", "arima.q",
+        "arima.theta(*)", "cal", "cal_b(?)", "cal_f(?)", "det", "det_b(?)",
+        "det_f(?)", "det_i", "det_i_b(?)", "det_i_f(?)", "det_s", "det_s_b(?)",
+        "det_s_f(?)", "det_t", "det_t_b(?)", "det_t_f(?)", "ee", "ee_b(?)",
+        "ee_f(?)", "l", "likelihood.adjustedll", "likelihood.aic", "likelihood.aicc",
+        "likelihood.bic", "likelihood.bic2", "likelihood.bicc", "likelihood.df",
+        "likelihood.hannanquinn", "likelihood.ll", "likelihood.neffectiveobs",
+        "likelihood.nobs", "likelihood.nparams", "likelihood.ssqerr",
+        "log", "mhe", "mhe_b(?)", "mhe_f(?)", "omhe", "omhe_b(?)", "omhe_f(?)",
+        "out", "out_b(?)", "out_f(?)", "out_i", "out_i_b(?)", "out_i_f(?)",
+        "out_s", "out_s_b(?)", "out_s_f(?)", "out_t", "out_t_b(?)", "out_t_f(?)",
+        "period", "reg_i", "reg_i_b(?)", "reg_i_f(?)", "reg_s", "reg_s_b(?)",
+        "reg_s_f(?)", "reg_sa", "reg_sa_b(?)", "reg_sa_f(?)", "reg_t",
+        "reg_t_b(?)", "reg_t_f(?)", "reg_u", "reg_u_b(?)", "reg_u_f(?)",
+        "reg_y", "reg_y_b(?)", "reg_y_f(?)", "regression.description",
+        "regression.details.coefficients", "regression.details.covar",
+        "regression.details.covar-ml", "regression.easter", "regression.espan.end",
+        "regression.espan.missing", "regression.espan.n", "regression.espan.start",
+        "regression.leaster", "regression.lp", "regression.mean", "regression.missing(*)",
+        "regression.ml.parameters", "regression.ml.pcorr", "regression.ml.pcovar",
+        "regression.ml.pcovar-ml", "regression.ml.pscore", "regression.mu",
+        "regression.nao", "regression.nlp", "regression.nls", "regression.nmh",
+        "regression.nout", "regression.nso", "regression.ntc", "regression.ntd",
+        "regression.nusers", "regression.out(*)", "regression.outlier(*)",
+        "regression.td(*)", "regression.type", "regression.user(*)",
+        "residuals.bp", "residuals.bp2", "residuals.doornikhansen", "residuals.kurtosis",
+        "residuals.lb", "residuals.lb2", "residuals.lruns", "residuals.ludruns",
+        "residuals.mean", "residuals.nruns", "residuals.nudruns", "residuals.res",
+        "residuals.seasbp", "residuals.seaslb", "residuals.ser", "residuals.skewness",
+        "residuals.tsres", "residuals.type", "span.end", "span.missing",
+        "span.n", "span.start", "tde", "tde_b(?)", "tde_f(?)", "y", "y_b(?)",
+        "y_eb(?)", "y_ef(?)", "y_f(?)", "yc", "ycal", "ycal_f(?)"
+    )
 
-  # jts<-rjd3toolkit::.r2jd_tsdata(rjd3toolkit::ABS$X0.2.09.10.M)
-  # jrslt<- rJava::.jcall("jdplus/x13/base/r/X11", "Ljdplus/x13/base/core/x11/X11Results;", "process", jts,
-  #                       rjd3x13::.r2jd_spec_x11(rjd3x13::spec_x11()))
-  # rjd3toolkit::dictionary(rjd3toolkit::.jd3_object(jrslt, result = TRUE)) |>
-  #   sort() |>
-  #   dput()
+    # jts<-rjd3toolkit::.r2jd_tsdata(rjd3toolkit::ABS$X0.2.09.10.M)
+    # jrslt<- rJava::.jcall("jdplus/x13/base/r/X11", "Ljdplus/x13/base/core/x11/X11Results;", "process", jts,
+    #                       rjd3x13::.r2jd_spec_x11(rjd3x13::spec_x11()))
+    # rjd3toolkit::dictionary(rjd3toolkit::.jd3_object(jrslt, result = TRUE)) |>
+    #   sort() |>
+    #   dput()
 
-  sa_x11 <- c("b1", "b10", "b11", "b13", "b17", "b2", "b20", "b3", "b4",
-             "b5", "b6", "b7", "b8", "b9", "c1", "c10", "c11", "c13", "c17",
-             "c2", "c20", "c4", "c5", "c6", "c7", "c9", "d1", "d10", "d11",
-             "d12", "d13", "d2", "d4", "d5", "d6", "d7", "d8", "d9", "d9-global-msr",
-             "d9-msr", "d9-msr-table", "seasonal-filters", "trend-filter",
-             "x11-all")
-  switch(x,
-          x13 = sa_x13,
-          regarima = sa_regarima,
-          x11 = sa_x11
-  )
+    sa_x11 <- c(
+        "b1", "b10", "b11", "b13", "b17", "b2", "b20", "b3", "b4",
+        "b5", "b6", "b7", "b8", "b9", "c1", "c10", "c11", "c13", "c17",
+        "c2", "c20", "c4", "c5", "c6", "c7", "c9", "d1", "d10", "d11",
+        "d12", "d13", "d2", "d4", "d5", "d6", "d7", "d8", "d9", "d9-global-msr",
+        "d9-msr", "d9-msr-table", "seasonal-filters", "trend-filter",
+        "x11-all"
+    )
+    switch(x,
+        x13 = sa_x13,
+        regarima = sa_regarima,
+        x11 = sa_x11
+    )
 }
diff --git a/R/utils.R b/R/utils.R
index f02d31d..4ff569e 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -14,11 +14,11 @@ NULL
 #> NULL
 
 
-identical_na <- function(x){
-  identical(x, NA) ||
-    identical(x, NA_character_) ||
-    identical(x, NA_complex_) ||
-    identical(x, NA_integer_) ||
-    identical(x, NA_real_) ||
-    identical(x, NaN)
+identical_na <- function(x) {
+    identical(x, NA) ||
+        identical(x, NA_character_) ||
+        identical(x, NA_complex_) ||
+        identical(x, NA_integer_) ||
+        identical(x, NA_real_) ||
+        identical(x, NaN)
 }
diff --git a/R/x13.R b/R/x13.R
index d72a57b..4796150 100644
--- a/R/x13.R
+++ b/R/x13.R
@@ -11,85 +11,88 @@ NULL
 #' @return the `regarima()` function returns a list with the results (`"JD3_REGARIMA_RSLTS"` object), the estimation specification and the result specification, while `regarima_fast()` is a faster function that only returns the results.
 #'
 #' @examples
-#' y = rjd3toolkit::ABS$X0.2.09.10.M
-#' sp = regarima_spec("rg5c")
-#' sp = rjd3toolkit::add_outlier(sp,
-#'                  type = c("AO"), c("2015-01-01", "2010-01-01"))
+#' y <- rjd3toolkit::ABS$X0.2.09.10.M
+#' sp <- regarima_spec("rg5c")
+#' sp <- rjd3toolkit::add_outlier(sp,
+#'     type = c("AO"), c("2015-01-01", "2010-01-01")
+#' )
 #' regarima_fast(y, spec = sp)
-#' sp = rjd3toolkit::set_transform(
-#'    rjd3toolkit::set_tradingdays(
-#'      rjd3toolkit::set_easter(sp, enabled = FALSE),
-#'     option = "workingdays"
-#'   ),
-#'   fun = "None"
+#' sp <- rjd3toolkit::set_transform(
+#'     rjd3toolkit::set_tradingdays(
+#'         rjd3toolkit::set_easter(sp, enabled = FALSE),
+#'         option = "workingdays"
+#'     ),
+#'     fun = "None"
 #' )
 #' regarima_fast(y, spec = sp)
-#' sp =  rjd3toolkit::set_outlier(sp, outliers.type = c("AO"))
+#' sp <- rjd3toolkit::set_outlier(sp, outliers.type = c("AO"))
 #' regarima_fast(y, spec = sp)
 #' @export
-regarima<-function(ts, spec=c("rg4", "rg0", "rg1", "rg2c", "rg3","rg5c"), context=NULL, userdefined = NULL){
-  jts<-rjd3toolkit::.r2jd_tsdata(ts)
-  if (is.character(spec)){
-    spec <- gsub("sa", "g", tolower(spec), fixed = TRUE)
-    spec <- match.arg(spec[1],
-                     choices = c("rg0", "rg1", "rg2c", "rg3","rg4", "rg5c")
-    )
-    jrslt<-.jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/core/x13/regarima/RegArimaOutput;", "fullProcess", jts, spec)
-  } else {
-    jspec<-.r2jd_spec_regarima(spec)
-    if (is.null(context)){
-      jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+regarima <- function(ts, spec = c("rg4", "rg0", "rg1", "rg2c", "rg3", "rg5c"), context = NULL, userdefined = NULL) {
+    jts <- rjd3toolkit::.r2jd_tsdata(ts)
+    if (is.character(spec)) {
+        spec <- gsub("sa", "g", tolower(spec), fixed = TRUE)
+        spec <- match.arg(spec[1],
+            choices = c("rg0", "rg1", "rg2c", "rg3", "rg4", "rg5c")
+        )
+        jrslt <- .jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/core/x13/regarima/RegArimaOutput;", "fullProcess", jts, spec)
+    } else {
+        jspec <- .r2jd_spec_regarima(spec)
+        if (is.null(context)) {
+            jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+        } else {
+            jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        }
+        jrslt <- .jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/core/x13/regarima/RegArimaOutput;", "fullProcess", jts, jspec, jcontext)
+    }
+    if (is.jnull(jrslt)) {
+        return(NULL)
     } else {
-      jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        res <- .regarima_output(jrslt)
+        return(.add_ud_var(res, jrslt, userdefined = userdefined))
     }
-    jrslt<-.jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/core/x13/regarima/RegArimaOutput;", "fullProcess", jts, jspec, jcontext)
-  }
-  if (is.jnull(jrslt)){
-    return(NULL)
-  } else {
-    res <- .regarima_output(jrslt)
-    return(.add_ud_var(res, jrslt, userdefined = userdefined))
-  }
 }
 #' @export
 #' @rdname regarima
-regarima_fast<-function(ts, spec= c("rg4", "rg0", "rg1", "rg2c", "rg3","rg5c"), context=NULL, userdefined = NULL){
-  jts<-rjd3toolkit::.r2jd_tsdata(ts)
-  if (is.character(spec)){
-    spec <- gsub("sa", "g", tolower(spec), fixed = TRUE)
-    spec <- match.arg(spec[1],
-                     choices = c("rg0", "rg1", "rg2c", "rg3","rg4", "rg5c")
-    )
-    jrslt<-.jcall("jdplus/x13/base/r/RegArima", "Ljdplus/toolkit/base/core/regsarima/regular/RegSarimaModel;", "process", jts, spec)
-  } else {
-    jspec<-.r2jd_spec_regarima(spec)
-    if (is.null(context)){
-      jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+regarima_fast <- function(ts, spec = c("rg4", "rg0", "rg1", "rg2c", "rg3", "rg5c"), context = NULL, userdefined = NULL) {
+    jts <- rjd3toolkit::.r2jd_tsdata(ts)
+    if (is.character(spec)) {
+        spec <- gsub("sa", "g", tolower(spec), fixed = TRUE)
+        spec <- match.arg(spec[1],
+            choices = c("rg0", "rg1", "rg2c", "rg3", "rg4", "rg5c")
+        )
+        jrslt <- .jcall("jdplus/x13/base/r/RegArima", "Ljdplus/toolkit/base/core/regsarima/regular/RegSarimaModel;", "process", jts, spec)
+    } else {
+        jspec <- .r2jd_spec_regarima(spec)
+        if (is.null(context)) {
+            jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+        } else {
+            jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        }
+        jrslt <- .jcall("jdplus/x13/base/r/RegArima", "Ljdplus/toolkit/base/core/regsarima/regular/RegSarimaModel;", "process", jts, jspec, jcontext)
+    }
+    if (is.jnull(jrslt)) {
+        return(NULL)
     } else {
-      jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        res <- .regarima_rslts(jrslt)
+        return(.add_ud_var(res, jrslt, userdefined = userdefined, result = TRUE))
     }
-    jrslt<-.jcall("jdplus/x13/base/r/RegArima", "Ljdplus/toolkit/base/core/regsarima/regular/RegSarimaModel;", "process", jts, jspec, jcontext)
-  }
-  if (is.jnull(jrslt)){
-    return(NULL)
-  } else {
-    res <- .regarima_rslts(jrslt)
-    return(.add_ud_var(res, jrslt, userdefined = userdefined, result = TRUE))
-  }
 }
 
-.regarima_output<-function(jq){
-  if (is.jnull(jq))
-    return(NULL)
-  q<-.jcall("jdplus/x13/base/r/RegArima", "[B", "toBuffer", jq)
-  p<-RProtoBuf::read(x13.RegArimaOutput, q)
-  return(structure(list(
-    result=rjd3toolkit::.p2r_regarima_rslts(p$result),
-    estimation_spec=.p2r_spec_regarima(p$estimation_spec),
-    result_spec=.p2r_spec_regarima(p$result_spec)
-  ),
-  class="JD3_REGARIMA_OUTPUT")
-  )
+.regarima_output <- function(jq) {
+    if (is.jnull(jq)) {
+        return(NULL)
+    }
+    q <- .jcall("jdplus/x13/base/r/RegArima", "[B", "toBuffer", jq)
+    p <- RProtoBuf::read(x13.RegArimaOutput, q)
+    return(structure(
+        list(
+            result = rjd3toolkit::.p2r_regarima_rslts(p$result),
+            estimation_spec = .p2r_spec_regarima(p$estimation_spec),
+            result_spec = .p2r_spec_regarima(p$result_spec)
+        ),
+        class = "JD3_REGARIMA_OUTPUT"
+    ))
 }
 
 #' Seasonal Adjustment with  X13-ARIMA
@@ -99,25 +102,27 @@ regarima_fast<-function(ts, spec= c("rg4", "rg0", "rg1", "rg2c", "rg3","rg5c"),
 #'
 #'
 #' @examples
-#' y = rjd3toolkit::ABS$X0.2.09.10.M
-#' x13_fast(y,"rsa3")
-#' x13(y,"rsa5c")
-#' regarima_fast(y,"rg0")
-#' regarima(y,"rg3")
+#' y <- rjd3toolkit::ABS$X0.2.09.10.M
+#' x13_fast(y, "rsa3")
+#' x13(y, "rsa5c")
+#' regarima_fast(y, "rg0")
+#' regarima(y, "rg3")
 #'
-#' sp = x13_spec("rsa5c")
-#' sp = rjd3toolkit::add_outlier(sp,
-#'                  type = c("AO"), c("2015-01-01", "2010-01-01"))
-#' sp =  rjd3toolkit::set_transform(
-#'    rjd3toolkit::set_tradingdays(
-#'      rjd3toolkit::set_easter(sp, enabled = FALSE),
-#'     option = "workingdays"
-#'   ),
-#'   fun = "None"
+#' sp <- x13_spec("rsa5c")
+#' sp <- rjd3toolkit::add_outlier(sp,
+#'     type = c("AO"), c("2015-01-01", "2010-01-01")
+#' )
+#' sp <- rjd3toolkit::set_transform(
+#'     rjd3toolkit::set_tradingdays(
+#'         rjd3toolkit::set_easter(sp, enabled = FALSE),
+#'         option = "workingdays"
+#'     ),
+#'     fun = "None"
+#' )
+#' x13(y, spec = sp)
+#' sp <- set_x11(sp,
+#'     henderson.filter = 13
 #' )
-#' x13(y,spec=sp)
-#' sp = set_x11(sp,
-#'              henderson.filter = 13)
 #' x13_fast(y, spec = sp)
 #'
 #' @return the `x13()` function returns a list with the results, the estimation specification and the result specification, while `x13_fast()` is a faster function that only returns the results.
@@ -126,100 +131,101 @@ regarima_fast<-function(ts, spec= c("rg4", "rg0", "rg1", "rg2c", "rg3","rg5c"),
 #' In the estimation functions `x13()` and `x13_fast()` you can directly use a specification name (string).
 #' If you want to customize a specification you have to create a specification object first.
 #' @export
-x13<-function(ts, spec=c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"), context=NULL, userdefined = NULL){
-  jts<-rjd3toolkit::.r2jd_tsdata(ts)
-  if (is.character(spec)){
-    spec <- gsub("g", "sa", tolower(spec), fixed = TRUE)
-    spec <- match.arg(spec[1],
-                     choices = c("rsa0", "rsa1", "rsa2c", "rsa3","rsa4", "rsa5c")
-    )
-    jrslt<-.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, spec)
-  } else {
-    jspec<-.r2jd_spec_x13(spec)
-    if (is.null(context)){
-      jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+x13 <- function(ts, spec = c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"), context = NULL, userdefined = NULL) {
+    jts <- rjd3toolkit::.r2jd_tsdata(ts)
+    if (is.character(spec)) {
+        spec <- gsub("g", "sa", tolower(spec), fixed = TRUE)
+        spec <- match.arg(spec[1],
+            choices = c("rsa0", "rsa1", "rsa2c", "rsa3", "rsa4", "rsa5c")
+        )
+        jrslt <- .jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, spec)
+    } else {
+        jspec <- .r2jd_spec_x13(spec)
+        if (is.null(context)) {
+            jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+        } else {
+            jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        }
+        jrslt <- .jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, jspec, jcontext)
+    }
+    if (is.jnull(jrslt)) {
+        return(NULL)
     } else {
-      jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        res <- .x13_output(jrslt)
+        return(.add_ud_var(res, jrslt, userdefined = userdefined, out_class = "Ljdplus/x13/base/core/x13/X13Results;"))
     }
-    jrslt<-.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, jspec, jcontext)
-  }
-  if (is.jnull(jrslt)){
-    return(NULL)
-  } else {
-    res <- .x13_output(jrslt)
-    return(.add_ud_var(res, jrslt, userdefined = userdefined, out_class = "Ljdplus/x13/base/core/x13/X13Results;"))
-  }
 }
 
 
 #' @export
 #' @rdname x13
-x13_fast<-function(ts, spec=c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"), context=NULL, userdefined = NULL){
-  jts<-rjd3toolkit::.r2jd_tsdata(ts)
-  if (is.character(spec)){
-    spec <- gsub("g", "sa", tolower(spec), fixed = TRUE)
-    spec <- match.arg(spec[1],
-                     choices = c("rsa0", "rsa1", "rsa2c", "rsa3","rsa4", "rsa5c")
-    )
-    jrslt<-.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Results;", "process", jts, spec)
-  } else {
-    jspec<-.r2jd_spec_x13(spec)
-    if (is.null(context)){
-      jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+x13_fast <- function(ts, spec = c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"), context = NULL, userdefined = NULL) {
+    jts <- rjd3toolkit::.r2jd_tsdata(ts)
+    if (is.character(spec)) {
+        spec <- gsub("g", "sa", tolower(spec), fixed = TRUE)
+        spec <- match.arg(spec[1],
+            choices = c("rsa0", "rsa1", "rsa2c", "rsa3", "rsa4", "rsa5c")
+        )
+        jrslt <- .jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Results;", "process", jts, spec)
+    } else {
+        jspec <- .r2jd_spec_x13(spec)
+        if (is.null(context)) {
+            jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+        } else {
+            jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        }
+        jrslt <- .jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Results;", "process", jts, jspec, jcontext)
+    }
+    if (is.jnull(jrslt)) {
+        return(NULL)
     } else {
-      jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        res <- .x13_rslts(jrslt)
+        return(.add_ud_var(res, jrslt, userdefined = userdefined, result = TRUE))
     }
-    jrslt<-.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Results;", "process", jts, jspec, jcontext)
-  }
-  if (is.jnull(jrslt)){
-    return(NULL)
-  } else {
-    res <- .x13_rslts(jrslt)
-    return(.add_ud_var(res, jrslt, userdefined = userdefined, result = TRUE))
-  }
 }
 
 #' @export
 #' @rdname x13
-.jx13<-function(ts, spec=c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"), context=NULL, userdefined = NULL){
-  jts<-rjd3toolkit::.r2jd_tsdata(ts)
-  if (is.character(spec)){
-    spec <- gsub("g", "sa", tolower(spec), fixed = TRUE)
-    spec <- match.arg(spec[1],
-                     choices = c("rsa0", "rsa1", "rsa2c", "rsa3","rsa4", "rsa5c")
-    )
-    jrslt<-.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, spec)
-  } else {
-    jspec<-.r2jd_spec_x13(spec)
-    if (is.null(context)){
-      jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+.jx13 <- function(ts, spec = c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"), context = NULL, userdefined = NULL) {
+    jts <- rjd3toolkit::.r2jd_tsdata(ts)
+    if (is.character(spec)) {
+        spec <- gsub("g", "sa", tolower(spec), fixed = TRUE)
+        spec <- match.arg(spec[1],
+            choices = c("rsa0", "rsa1", "rsa2c", "rsa3", "rsa4", "rsa5c")
+        )
+        jrslt <- .jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, spec)
+    } else {
+        jspec <- .r2jd_spec_x13(spec)
+        if (is.null(context)) {
+            jcontext <- .jnull("jdplus/toolkit/base/api/timeseries/regression/ModellingContext")
+        } else {
+            jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        }
+        jrslt <- .jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, jspec, jcontext)
+    }
+    if (is.jnull(jrslt)) {
+        return(NULL)
     } else {
-      jcontext <- rjd3toolkit::.r2jd_modellingcontext(context)
+        jrslt <- .jcall(jrslt, "Ljdplus/x13/base/core/x13/X13Results;", "getResult")
+        res <- rjd3toolkit::.jd3_object(jrslt, result = TRUE)
+        return(res)
     }
-    jrslt<-.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/core/x13/X13Output;", "fullProcess", jts, jspec, jcontext)
-  }
-  if (is.jnull(jrslt)){
-    return(NULL)
-  } else {
-    jrslt <- .jcall(jrslt, "Ljdplus/x13/base/core/x13/X13Results;", "getResult")
-    res <- rjd3toolkit::.jd3_object(jrslt, result = TRUE)
-    return(res)
-  }
 }
 
-.x13_output<-function(jq){
-  if (is.jnull(jq))
-    return(NULL)
-  q<-.jcall("jdplus/x13/base/r/X13", "[B", "toBuffer", jq)
-  p<-RProtoBuf::read(x13.X13Output, q)
-  return(structure(list(
-    result=.p2r_x13_rslts(p$result),
-    estimation_spec=.p2r_spec_x13(p$estimation_spec),
-    result_spec=.p2r_spec_x13(p$result_spec)
-  ),
-  class="JD3_X13_OUTPUT")
-  )
-
+.x13_output <- function(jq) {
+    if (is.jnull(jq)) {
+        return(NULL)
+    }
+    q <- .jcall("jdplus/x13/base/r/X13", "[B", "toBuffer", jq)
+    p <- RProtoBuf::read(x13.X13Output, q)
+    return(structure(
+        list(
+            result = .p2r_x13_rslts(p$result),
+            estimation_spec = .p2r_spec_x13(p$estimation_spec),
+            result_spec = .p2r_spec_x13(p$result_spec)
+        ),
+        class = "JD3_X13_OUTPUT"
+    ))
 }
 
 #' X-11 Decomposition Algorithm
@@ -234,16 +240,16 @@ x13_fast<-function(ts, spec=c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c"),
 #' x11_spec <- set_x11(x11_spec, henderson.filter = 13)
 #' x11(y, x11_spec)
 #' @export
-x11 <- function(ts, spec = x11_spec(), userdefined = NULL){
-  jts<-rjd3toolkit::.r2jd_tsdata(ts)
-  jspec<-.r2jd_spec_x11(spec)
-  jrslt<-.jcall("jdplus/x13/base/r/X11", "Ljdplus/x13/base/core/x11/X11Results;", "process", jts, jspec)
-  if (is.jnull(jrslt)){
-    return(NULL)
-  } else {
-    res <- .x11_rslts(jrslt)
-    return(.add_ud_var(res, jrslt, userdefined = userdefined, result = TRUE))
-  }
+x11 <- function(ts, spec = x11_spec(), userdefined = NULL) {
+    jts <- rjd3toolkit::.r2jd_tsdata(ts)
+    jspec <- .r2jd_spec_x11(spec)
+    jrslt <- .jcall("jdplus/x13/base/r/X11", "Ljdplus/x13/base/core/x11/X11Results;", "process", jts, jspec)
+    if (is.jnull(jrslt)) {
+        return(NULL)
+    } else {
+        res <- .x11_rslts(jrslt)
+        return(.add_ud_var(res, jrslt, userdefined = userdefined, result = TRUE))
+    }
 }
 
 #' Refresh a specification with constraints
@@ -295,114 +301,122 @@ x11 <- function(ts, spec = x11_spec(), userdefined = NULL){
 #' \url{https://jdemetra-new-documentation.netlify.app/t-rev-policies-production}
 #'
 #' @examples
-#'y<- rjd3toolkit::ABS$X0.2.08.10.M
-#'# raw series for first estimation
-#'y_raw <-window(y,end = c(2016,12))
-#'# raw series for second (refreshed) estimation
-#'y_new <-window(y,end = c(2017,6))
-#'# specification for first estimation
-#'spec_x13_1<-x13_spec("rsa5c")
-#'# first estimation
-#'sa_x13<- x13(y_raw, spec_x13_1)
+#' y <- rjd3toolkit::ABS$X0.2.08.10.M
+#' # raw series for first estimation
+#' y_raw <- window(y, end = c(2016, 12))
+#' # raw series for second (refreshed) estimation
+#' y_new <- window(y, end = c(2017, 6))
+#' # specification for first estimation
+#' spec_x13_1 <- x13_spec("rsa5c")
+#' # first estimation
+#' sa_x13 <- x13(y_raw, spec_x13_1)
 #' # refreshing the specification
 #' current_result_spec <- sa_x13$result_spec
 #' current_domain_spec <- sa_x13$estimation_spec
 #' # policy = "Fixed"
 #' spec_x13_ref <- x13_refresh(current_result_spec, # point spec to be refreshed
-#'   current_domain_spec, #domain spec (set of constraints)
-#'   policy = "Fixed")
+#'     current_domain_spec, # domain spec (set of constraints)
+#'     policy = "Fixed"
+#' )
 #' # 2nd estimation with refreshed specification
 #' sa_x13_ref <- x13(y_new, spec_x13_ref)
 #' # policy = "Outliers"
 #' spec_x13_ref <- x13_refresh(current_result_spec,
-#'   current_domain_spec,
-#'   policy = "Outliers",
-#'   period=12,
-#'   start=c(2017,1)) # outliers will be re-detected from January 2017 included
+#'     current_domain_spec,
+#'     policy = "Outliers",
+#'     period = 12,
+#'     start = c(2017, 1)
+#' ) # outliers will be re-detected from January 2017 included
 #' # 2nd estimation with refreshed specification
 #' sa_x13_ref <- x13(y_new, spec_x13_ref)
 #'
 #' # policy = "Current"
 #' spec_x13_ref <- x13_refresh(current_result_spec,
-#'   current_domain_spec,
-#'   policy = "Current",
-#'   period=12,
-#'   start=c(2017,1),
-#'   end=end(y_new))
-#'   # points from January 2017 (included) until the end of the series will be treated
-#'   # as Additive Outliers, the previous reg-Arima model being otherwise kept fixed
+#'     current_domain_spec,
+#'     policy = "Current",
+#'     period = 12,
+#'     start = c(2017, 1),
+#'     end = end(y_new)
+#' )
+#' # points from January 2017 (included) until the end of the series will be treated
+#' # as Additive Outliers, the previous reg-Arima model being otherwise kept fixed
 #' # 2nd estimation with refreshed specification
 #' sa_x13_ref <- x13(y_new, spec_x13_ref)
 #'
 #' @name refresh
 #' @rdname refresh
 #' @export
-regarima_refresh<-function(spec, refspec=NULL, policy=c("FreeParameters", "Complete", "Outliers_StochasticComponent", "Outliers", "FixedParameters", "FixedAutoRegressiveParameters", "Fixed", "Current"), period=0, start=NULL, end=NULL){
-  policy <- match.arg(policy)
-  if (!inherits(spec, "JD3_REGARIMA_SPEC"))
-    stop("Invalid specification type")
-  jspec<-.r2jd_spec_regarima(spec)
-  if (is.null(refspec)){
-    jrefspec<-.jcall("jdplus/x13/base/api/regarima/RegArimaSpec", "Ljdplus/x13/base/api/regarima/RegArimaSpec;", "fromString", "rg4")
-
-  } else {
-    if (!inherits(refspec, "JD3_REGARIMA_SPEC"))
-      stop("Invalid specification type")
-    jrefspec<-.r2jd_spec_regarima(refspec)
-  }
-  if (policy == 'Current'){
-    if (end[2] == period) end<-c(end[1]+1, 1) else end<-c(end[1], end[2]+1)
-    jdom<-rjd3toolkit::.jdomain(period, start, end)
-  }
-  else if (policy == 'Outliers')
-    jdom<-rjd3toolkit::.jdomain(period, NULL, start)
-  else
-    jdom<-jdom<-rjd3toolkit::.jdomain(0, NULL, NULL)
-  jnspec<-.jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/api/regarima/RegArimaSpec;", "refreshSpec", jspec, jrefspec, jdom, policy)
-  return(.jd2r_spec_regarima(jnspec))
+regarima_refresh <- function(spec, refspec = NULL, policy = c("FreeParameters", "Complete", "Outliers_StochasticComponent", "Outliers", "FixedParameters", "FixedAutoRegressiveParameters", "Fixed", "Current"), period = 0, start = NULL, end = NULL) {
+    policy <- match.arg(policy)
+    if (!inherits(spec, "JD3_REGARIMA_SPEC")) {
+        stop("Invalid specification type")
+    }
+    jspec <- .r2jd_spec_regarima(spec)
+    if (is.null(refspec)) {
+        jrefspec <- .jcall("jdplus/x13/base/api/regarima/RegArimaSpec", "Ljdplus/x13/base/api/regarima/RegArimaSpec;", "fromString", "rg4")
+    } else {
+        if (!inherits(refspec, "JD3_REGARIMA_SPEC")) {
+            stop("Invalid specification type")
+        }
+        jrefspec <- .r2jd_spec_regarima(refspec)
+    }
+    if (policy == "Current") {
+        if (end[2] == period) end <- c(end[1] + 1, 1) else end <- c(end[1], end[2] + 1)
+        jdom <- rjd3toolkit::.jdomain(period, start, end)
+    } else if (policy == "Outliers") {
+        jdom <- rjd3toolkit::.jdomain(period, NULL, start)
+    } else {
+        jdom <- jdom <- rjd3toolkit::.jdomain(0, NULL, NULL)
+    }
+    jnspec <- .jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/api/regarima/RegArimaSpec;", "refreshSpec", jspec, jrefspec, jdom, policy)
+    return(.jd2r_spec_regarima(jnspec))
 }
 
 #' @rdname refresh
 #' @export
-x13_refresh<-function(spec, refspec=NULL, policy=c("FreeParameters", "Complete",
-                                                   "Outliers_StochasticComponent", "Outliers",
-                                                   "FixedParameters",
-                                                   "FixedAutoRegressiveParameters", "Fixed",
-                                                   "Current"), period=0, start=NULL, end=NULL){
-  policy <- match.arg(policy)
-  if (!inherits(spec, "JD3_X13_SPEC"))
-    stop("Invalid specification type")
-  jspec<-.r2jd_spec_x13(spec)
-  if (is.null(refspec)){
-    jrefspec<-.jcall("jdplus/x13/base/api/x13/X13Spec", "Ljdplus/x13/base/api/x13/X13Spec;", "fromString", "rsa4")
-
-  } else {
-    if (!inherits(refspec, "JD3_X13_SPEC"))
-      stop("Invalid specification type")
-    jrefspec<-.r2jd_spec_x13(refspec)
-  }
-  if (policy == 'Current'){
-    if (end[2] == period) end<-c(end[1]+1, 1) else end<-c(end[1], end[2]+1)
-    jdom<-rjd3toolkit::.jdomain(period, start, end)
-  }
-  else if (policy %in% c('Outliers', "Outliers_StochasticComponent"))
-    jdom<-rjd3toolkit::.jdomain(period, NULL, start)
-  else
-    jdom<-rjd3toolkit::.jdomain(0, NULL, NULL)
-  jnspec<-.jcall(
-      obj = "jdplus/x13/base/r/X13",
-      returnSig = "Ljdplus/x13/base/api/x13/X13Spec;",
-      method = "refreshSpec",
-      jspec, jrefspec, jdom, policy)
-  return(.jd2r_spec_x13(jnspec))
+x13_refresh <- function(spec, refspec = NULL, policy = c(
+                            "FreeParameters", "Complete",
+                            "Outliers_StochasticComponent", "Outliers",
+                            "FixedParameters",
+                            "FixedAutoRegressiveParameters", "Fixed",
+                            "Current"
+                        ), period = 0, start = NULL, end = NULL) {
+    policy <- match.arg(policy)
+    if (!inherits(spec, "JD3_X13_SPEC")) {
+        stop("Invalid specification type")
+    }
+    jspec <- .r2jd_spec_x13(spec)
+    if (is.null(refspec)) {
+        jrefspec <- .jcall("jdplus/x13/base/api/x13/X13Spec", "Ljdplus/x13/base/api/x13/X13Spec;", "fromString", "rsa4")
+    } else {
+        if (!inherits(refspec, "JD3_X13_SPEC")) {
+            stop("Invalid specification type")
+        }
+        jrefspec <- .r2jd_spec_x13(refspec)
+    }
+    if (policy == "Current") {
+        if (end[2] == period) end <- c(end[1] + 1, 1) else end <- c(end[1], end[2] + 1)
+        jdom <- rjd3toolkit::.jdomain(period, start, end)
+    } else if (policy %in% c("Outliers", "Outliers_StochasticComponent")) {
+        jdom <- rjd3toolkit::.jdomain(period, NULL, start)
+    } else {
+        jdom <- rjd3toolkit::.jdomain(0, NULL, NULL)
+    }
+    jnspec <- .jcall(
+        obj = "jdplus/x13/base/r/X13",
+        returnSig = "Ljdplus/x13/base/api/x13/X13Spec;",
+        method = "refreshSpec",
+        jspec, jrefspec, jdom, policy
+    )
+    return(.jd2r_spec_x13(jnspec))
 }
 
 #' X-13 Dictionary
 #'
 #' @return A vector containing the names of all the available output objects (series, diagnostics, parameters).
 #' @export
-x13_dictionary<-function(){
-  return(.jcall("jdplus/x13/base/r/X13","[S", "dictionary"))
+x13_dictionary <- function() {
+    return(.jcall("jdplus/x13/base/r/X13", "[S", "dictionary"))
 }
 
 #' Title
@@ -411,10 +425,10 @@ x13_dictionary<-function(){
 #' @export
 #'
 #' @examples
-x13_full_dictionary<-function(){
-  q<-.jcall("jdplus/x13/base/r/X13","[S", "fullDictionary")
-  q<-`dim<-`(q, c(6, length(q)/6))
-  q<-t(q)
-  q<-`colnames<-`(q, c("name", "description", "detail", "output", "type", "fullname"))
-  return(q)
+x13_full_dictionary <- function() {
+    q <- .jcall("jdplus/x13/base/r/X13", "[S", "fullDictionary")
+    q <- `dim<-`(q, c(6, length(q) / 6))
+    q <- t(q)
+    q <- `colnames<-`(q, c("name", "description", "detail", "output", "type", "fullname"))
+    return(q)
 }
diff --git a/R/x13_rslts.R b/R/x13_rslts.R
index 7387d65..eebda70 100644
--- a/R/x13_rslts.R
+++ b/R/x13_rslts.R
@@ -2,96 +2,99 @@
 #' @importFrom rjd3toolkit sa_decomposition
 NULL
 
-.regarima_rslts <- function(jrslts){
-  if (is.jnull(jrslts))
-    return(NULL)
-  q<-.jcall("jdplus/x13/base/r/RegArima", "[B", "toBuffer", jrslts)
-  rq<-RProtoBuf::read(regarima.RegArimaModel, q)
-  return(rjd3toolkit::.p2r_regarima_rslts(rq))
+.regarima_rslts <- function(jrslts) {
+    if (is.jnull(jrslts)) {
+        return(NULL)
+    }
+    q <- .jcall("jdplus/x13/base/r/RegArima", "[B", "toBuffer", jrslts)
+    rq <- RProtoBuf::read(regarima.RegArimaModel, q)
+    return(rjd3toolkit::.p2r_regarima_rslts(rq))
 }
 
 #' @export
 #' @rdname jd3_utilities
-.x13_rslts<-function(jrslts){
-  if (is.jnull(jrslts))
-    return(NULL)
-  q<-.jcall("jdplus/x13/base/r/X13", "[B", "toBuffer", jrslts)
-  rq<-RProtoBuf::read(x13.X13Results, q)
-  return(.p2r_x13_rslts(rq))
+.x13_rslts <- function(jrslts) {
+    if (is.jnull(jrslts)) {
+        return(NULL)
+    }
+    q <- .jcall("jdplus/x13/base/r/X13", "[B", "toBuffer", jrslts)
+    rq <- RProtoBuf::read(x13.X13Results, q)
+    return(.p2r_x13_rslts(rq))
 }
 
-.x11_rslts<-function(jrslts){
-  if (is.jnull(jrslts))
-    return(NULL)
-  q<-.jcall("jdplus/x13/base/r/X11", "[B", "toBuffer", jrslts)
-  rq<-RProtoBuf::read(x13.X11Results, q)
-  return(.p2r_x11_rslts(rq))
+.x11_rslts <- function(jrslts) {
+    if (is.jnull(jrslts)) {
+        return(NULL)
+    }
+    q <- .jcall("jdplus/x13/base/r/X11", "[B", "toBuffer", jrslts)
+    rq <- RProtoBuf::read(x13.X11Results, q)
+    return(.p2r_x11_rslts(rq))
 }
 
-.p2r_x13_rslts<-function(p){
-
-  return(structure(
-    list(
-      preprocessing=rjd3toolkit::.p2r_regarima_rslts(p$preprocessing),
-      preadjust=.p2r_x13_preadjust(p$preadjustment),
-      decomposition=.p2r_x11_rslts(p$decomposition),
-      final=.p2r_x13_final(p$final),
-      mstats=p$diagnostics_x13$mstatistics$as.list(),
-      diagnostics=rjd3toolkit::.p2r_sa_diagnostics(p$diagnostics_sa)
-      )
-    ,
-    class= "JD3_X13_RSLTS"))
+.p2r_x13_rslts <- function(p) {
+    return(structure(
+        list(
+            preprocessing = rjd3toolkit::.p2r_regarima_rslts(p$preprocessing),
+            preadjust = .p2r_x13_preadjust(p$preadjustment),
+            decomposition = .p2r_x11_rslts(p$decomposition),
+            final = .p2r_x13_final(p$final),
+            mstats = p$diagnostics_x13$mstatistics$as.list(),
+            diagnostics = rjd3toolkit::.p2r_sa_diagnostics(p$diagnostics_sa)
+        ),
+        class = "JD3_X13_RSLTS"
+    ))
 }
 
-.p2r_x11_rslts<-function(p){
-  return(structure(
-    list(
-      d1=rjd3toolkit::.p2r_tsdata(p$d1),
-      d2=rjd3toolkit::.p2r_tsdata(p$d2),
-      d4=rjd3toolkit::.p2r_tsdata(p$d4),
-      d5=rjd3toolkit::.p2r_tsdata(p$d5),
-      d6=rjd3toolkit::.p2r_tsdata(p$d6),
-      d7=rjd3toolkit::.p2r_tsdata(p$d7),
-      d8=rjd3toolkit::.p2r_tsdata(p$d8),
-      d9=rjd3toolkit::.p2r_tsdata(p$d9),
-      d10=rjd3toolkit::.p2r_tsdata(p$d10),
-      d11=rjd3toolkit::.p2r_tsdata(p$d11),
-      d12=rjd3toolkit::.p2r_tsdata(p$d12),
-      d13=rjd3toolkit::.p2r_tsdata(p$d13),
-      final_seasonal=p$final_seasonal_filters,
-      final_henderson=p$final_henderson_filter
-    ),
-    class= "JD3X11"))
+.p2r_x11_rslts <- function(p) {
+    return(structure(
+        list(
+            d1 = rjd3toolkit::.p2r_tsdata(p$d1),
+            d2 = rjd3toolkit::.p2r_tsdata(p$d2),
+            d4 = rjd3toolkit::.p2r_tsdata(p$d4),
+            d5 = rjd3toolkit::.p2r_tsdata(p$d5),
+            d6 = rjd3toolkit::.p2r_tsdata(p$d6),
+            d7 = rjd3toolkit::.p2r_tsdata(p$d7),
+            d8 = rjd3toolkit::.p2r_tsdata(p$d8),
+            d9 = rjd3toolkit::.p2r_tsdata(p$d9),
+            d10 = rjd3toolkit::.p2r_tsdata(p$d10),
+            d11 = rjd3toolkit::.p2r_tsdata(p$d11),
+            d12 = rjd3toolkit::.p2r_tsdata(p$d12),
+            d13 = rjd3toolkit::.p2r_tsdata(p$d13),
+            final_seasonal = p$final_seasonal_filters,
+            final_henderson = p$final_henderson_filter
+        ),
+        class = "JD3X11"
+    ))
 }
 
 
-.p2r_x13_final<-function(p){
-  return(list(
-      d11final=rjd3toolkit::.p2r_tsdata(p$d11final),
-      d12final=rjd3toolkit::.p2r_tsdata(p$d12final),
-      d13final=rjd3toolkit::.p2r_tsdata(p$d13final),
-      d16=rjd3toolkit::.p2r_tsdata(p$d16),
-      d18=rjd3toolkit::.p2r_tsdata(p$d18),
-      d11a=rjd3toolkit::.p2r_tsdata(p$d11a),
-      d12a=rjd3toolkit::.p2r_tsdata(p$d12a),
-      d16a=rjd3toolkit::.p2r_tsdata(p$d16a),
-      d18a=rjd3toolkit::.p2r_tsdata(p$d18a),
-      e1=rjd3toolkit::.p2r_tsdata(p$e1),
-      e2=rjd3toolkit::.p2r_tsdata(p$e2),
-      e3=rjd3toolkit::.p2r_tsdata(p$e3),
-      e11=rjd3toolkit::.p2r_tsdata(p$e11)
+.p2r_x13_final <- function(p) {
+    return(list(
+        d11final = rjd3toolkit::.p2r_tsdata(p$d11final),
+        d12final = rjd3toolkit::.p2r_tsdata(p$d12final),
+        d13final = rjd3toolkit::.p2r_tsdata(p$d13final),
+        d16 = rjd3toolkit::.p2r_tsdata(p$d16),
+        d18 = rjd3toolkit::.p2r_tsdata(p$d18),
+        d11a = rjd3toolkit::.p2r_tsdata(p$d11a),
+        d12a = rjd3toolkit::.p2r_tsdata(p$d12a),
+        d16a = rjd3toolkit::.p2r_tsdata(p$d16a),
+        d18a = rjd3toolkit::.p2r_tsdata(p$d18a),
+        e1 = rjd3toolkit::.p2r_tsdata(p$e1),
+        e2 = rjd3toolkit::.p2r_tsdata(p$e2),
+        e3 = rjd3toolkit::.p2r_tsdata(p$e3),
+        e11 = rjd3toolkit::.p2r_tsdata(p$e11)
     ))
 }
 
-.p2r_x13_preadjust<-function(p){
-  return(list(
-      a1=rjd3toolkit::.p2r_tsdata(p$a1),
-      a1a=rjd3toolkit::.p2r_tsdata(p$a1a),
-      a1b=rjd3toolkit::.p2r_tsdata(p$a1b),
-      a6=rjd3toolkit::.p2r_tsdata(p$a6),
-      a7=rjd3toolkit::.p2r_tsdata(p$a7),
-      a8=rjd3toolkit::.p2r_tsdata(p$a8),
-      a9=rjd3toolkit::.p2r_tsdata(p$a9)
+.p2r_x13_preadjust <- function(p) {
+    return(list(
+        a1 = rjd3toolkit::.p2r_tsdata(p$a1),
+        a1a = rjd3toolkit::.p2r_tsdata(p$a1a),
+        a1b = rjd3toolkit::.p2r_tsdata(p$a1b),
+        a6 = rjd3toolkit::.p2r_tsdata(p$a6),
+        a7 = rjd3toolkit::.p2r_tsdata(p$a7),
+        a8 = rjd3toolkit::.p2r_tsdata(p$a8),
+        a9 = rjd3toolkit::.p2r_tsdata(p$a9)
     ))
 }
 
@@ -100,19 +103,21 @@ NULL
 
 #' @export
 #' @importFrom rjd3toolkit sa_decomposition
-sa_decomposition.JD3_X13_RSLTS<-function(x, ...){
-  if (is.null(x)) return(NULL)
-  return(rjd3toolkit::sadecomposition(x$preadjust$a1, #y
-                                  x$final$d11final, #sa
-                                  x$final$d12final, #t
-                                  x$final$d16, #s
-                                  x$final$d13final, #i
-                                  x$preprocessing$description$log
-  ))
-
+sa_decomposition.JD3_X13_RSLTS <- function(x, ...) {
+    if (is.null(x)) {
+        return(NULL)
+    }
+    return(rjd3toolkit::sadecomposition(
+        x$preadjust$a1, # y
+        x$final$d11final, # sa
+        x$final$d12final, # t
+        x$final$d16, # s
+        x$final$d13final, # i
+        x$preprocessing$description$log
+    ))
 }
 
 #' @export
-sa_decomposition.JD3_X13_OUTPUT<-function(x, ...){
-  return(rjd3toolkit::sa_decomposition(x$result, ...))
+sa_decomposition.JD3_X13_OUTPUT <- function(x, ...) {
+    return(rjd3toolkit::sa_decomposition(x$result, ...))
 }
diff --git a/R/x13_spec.R b/R/x13_spec.R
index 1c69933..01fe88e 100644
--- a/R/x13_spec.R
+++ b/R/x13_spec.R
@@ -45,10 +45,10 @@ NULL
 #' @name x13_spec
 #' @rdname x13_spec
 #' @export
-regarima_spec<-function(name=c("rg4","rg0", "rg1", "rg2c", "rg3", "rg5c")){
+regarima_spec <- function(name = c("rg4", "rg0", "rg1", "rg2c", "rg3", "rg5c")) {
     name <- gsub("sa", "g", tolower(name), fixed = TRUE)
     name <- match.arg(name[1],
-                      choices = c("rg0", "rg1", "rg2c", "rg3","rg4", "rg5c")
+        choices = c("rg0", "rg1", "rg2c", "rg3", "rg4", "rg5c")
     )
     return(.jd2r_spec_regarima(.jcall("jdplus/x13/base/api/regarima/RegArimaSpec", "Ljdplus/x13/base/api/regarima/RegArimaSpec;", "fromString", name)))
 }
@@ -56,10 +56,10 @@ regarima_spec<-function(name=c("rg4","rg0", "rg1", "rg2c", "rg3", "rg5c")){
 
 #' @rdname x13_spec
 #' @export
-x13_spec<-function(name = c("rsa4","rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c")){
+x13_spec <- function(name = c("rsa4", "rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c")) {
     name <- gsub("g", "sa", tolower(name), fixed = TRUE)
     name <- match.arg(name[1],
-                      choices = c("rsa0", "rsa1", "rsa2c", "rsa3","rsa4", "rsa5c")
+        choices = c("rsa0", "rsa1", "rsa2c", "rsa3", "rsa4", "rsa5c")
     )
     return(.jd2r_spec_x13(.jcall("jdplus/x13/base/api/x13/X13Spec", "Ljdplus/x13/base/api/x13/X13Spec;", "fromString", name)))
 }
@@ -67,279 +67,290 @@ x13_spec<-function(name = c("rsa4","rsa0", "rsa1", "rsa2c", "rsa3", "rsa5c")){
 
 #' @rdname x13_spec
 #' @export
-x11_spec<-function(){
+x11_spec <- function() {
     return(.jd2r_spec_x11(.jfield("jdplus/x13/base/api/x11/X11Spec", "Ljdplus/x13/base/api/x11/X11Spec;", "DEFAULT")))
 }
 
 #' @export
 #' @rdname jd3_utilities
-.jd2r_spec_x11<-function(jspec){
-    b<-.jcall("jdplus/x13/base/r/X11", "[B", "toBuffer", jspec)
-    p<-RProtoBuf::read(x13.X11Spec, b)
+.jd2r_spec_x11 <- function(jspec) {
+    b <- .jcall("jdplus/x13/base/r/X11", "[B", "toBuffer", jspec)
+    p <- RProtoBuf::read(x13.X11Spec, b)
     return(.p2r_spec_x11(p))
 }
 
 #' @export
 #' @rdname jd3_utilities
-.r2jd_spec_x11<-function(spec){
-    p<-.r2p_spec_x11(spec)
-    b<-RProtoBuf::serialize(p, NULL)
-    nspec<-.jcall("jdplus/x13/base/r/X11", "Ljdplus/x13/base/api/x11/X11Spec;", "of", b)
+.r2jd_spec_x11 <- function(spec) {
+    p <- .r2p_spec_x11(spec)
+    b <- RProtoBuf::serialize(p, NULL)
+    nspec <- .jcall("jdplus/x13/base/r/X11", "Ljdplus/x13/base/api/x11/X11Spec;", "of", b)
     return(nspec)
 }
 
 #' @export
 #' @rdname jd3_utilities
-.r2jd_spec_regarima<-function(spec){
-    p<-.r2p_spec_regarima(spec)
-    b<-RProtoBuf::serialize(p, NULL)
-    nspec<-.jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/api/regarima/RegArimaSpec;", "specOf", b)
+.r2jd_spec_regarima <- function(spec) {
+    p <- .r2p_spec_regarima(spec)
+    b <- RProtoBuf::serialize(p, NULL)
+    nspec <- .jcall("jdplus/x13/base/r/RegArima", "Ljdplus/x13/base/api/regarima/RegArimaSpec;", "specOf", b)
     return(nspec)
 }
 
 #' @export
 #' @rdname jd3_utilities
-.jd2r_spec_regarima<-function(jspec){
-    b<-.jcall("jdplus/x13/base/r/RegArima", "[B", "toBuffer", jspec)
-    p<-RProtoBuf::read(x13.RegArimaSpec, b)
+.jd2r_spec_regarima <- function(jspec) {
+    b <- .jcall("jdplus/x13/base/r/RegArima", "[B", "toBuffer", jspec)
+    p <- RProtoBuf::read(x13.RegArimaSpec, b)
     return(.p2r_spec_regarima(p))
 }
 
 #' @export
 #' @rdname jd3_utilities
-.r2jd_spec_x13<-function(spec){
-    p<-.r2p_spec_x13(spec)
-    b<-RProtoBuf::serialize(p, NULL)
-    nspec<-.jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/api/x13/X13Spec;", "specOf", b)
+.r2jd_spec_x13 <- function(spec) {
+    p <- .r2p_spec_x13(spec)
+    b <- RProtoBuf::serialize(p, NULL)
+    nspec <- .jcall("jdplus/x13/base/r/X13", "Ljdplus/x13/base/api/x13/X13Spec;", "specOf", b)
     return(nspec)
 }
 
 #' @export
 #' @rdname jd3_utilities
-.jd2r_spec_x13<-function(jspec){
-    b<-.jcall("jdplus/x13/base/r/X13", "[B", "toBuffer", jspec)
-    p<-RProtoBuf::read(x13.Spec, b)
+.jd2r_spec_x13 <- function(jspec) {
+    b <- .jcall("jdplus/x13/base/r/X13", "[B", "toBuffer", jspec)
+    p <- RProtoBuf::read(x13.Spec, b)
     return(.p2r_spec_x13(p))
 }
 
 ## P <-> R
 
-.p2r_spec_regarima<-function(pspec){
-    basic<-list(
-        span=rjd3toolkit::.p2r_span(pspec$basic$span),
+.p2r_spec_regarima <- function(pspec) {
+    basic <- list(
+        span = rjd3toolkit::.p2r_span(pspec$basic$span),
         preprocessing = pspec$basic$preprocessing,
-        preliminaryCheck = pspec$basic$preliminary_check)
+        preliminaryCheck = pspec$basic$preliminary_check
+    )
     transform <- list(
-        fn=rjd3toolkit::.enum_extract(modelling.Transformation, pspec$transform$transformation),
-        adjust=rjd3toolkit::.enum_extract(modelling.LengthOfPeriod, pspec$transform$adjust),
-        aicdiff=pspec$transform$aicdiff,
-        outliers=pspec$transform$outliers_correction
+        fn = rjd3toolkit::.enum_extract(modelling.Transformation, pspec$transform$transformation),
+        adjust = rjd3toolkit::.enum_extract(modelling.LengthOfPeriod, pspec$transform$adjust),
+        aicdiff = pspec$transform$aicdiff,
+        outliers = pspec$transform$outliers_correction
     )
     automodel <- list(
-        enabled=pspec$automodel$enabled,
-        ljungbox=pspec$automodel$ljungbox,
-        tsig=pspec$automodel$tsig,
-        predcv=pspec$automodel$predcv,
-        ubfinal=pspec$automodel$ubfinal,
-        ub1=pspec$automodel$ub1,
-        ub2=pspec$automodel$ub2,
-        cancel=pspec$automodel$cancel,
-        fct=pspec$automodel$fct,
-        acceptdef=pspec$automodel$acceptdef,
-        mixed=pspec$automodel$mixed,
-        balanced=pspec$automodel$balanced
+        enabled = pspec$automodel$enabled,
+        ljungbox = pspec$automodel$ljungbox,
+        tsig = pspec$automodel$tsig,
+        predcv = pspec$automodel$predcv,
+        ubfinal = pspec$automodel$ubfinal,
+        ub1 = pspec$automodel$ub1,
+        ub2 = pspec$automodel$ub2,
+        cancel = pspec$automodel$cancel,
+        fct = pspec$automodel$fct,
+        acceptdef = pspec$automodel$acceptdef,
+        mixed = pspec$automodel$mixed,
+        balanced = pspec$automodel$balanced
     )
 
-    arima<-rjd3toolkit::.p2r_spec_sarima(pspec$arima)
-
-    outlier<-list(
-        outliers=lapply(pspec$outlier$outliers, function(z){list(type=z$code, va=z$va)} ),
-        span=rjd3toolkit::.p2r_span(pspec$outlier$span),
-        defva=pspec$outlier$defva,
-        method=rjd3toolkit::.enum_extract(x13.OutlierMethod, pspec$outlier$method),
-        monthlytcrate=pspec$outlier$monthly_tc_rate,
-        maxiter=pspec$outlier$maxiter,
-        lsrun=pspec$outlier$lsrun
+    arima <- rjd3toolkit::.p2r_spec_sarima(pspec$arima)
+
+    outlier <- list(
+        outliers = lapply(pspec$outlier$outliers, function(z) {
+            list(type = z$code, va = z$va)
+        }),
+        span = rjd3toolkit::.p2r_span(pspec$outlier$span),
+        defva = pspec$outlier$defva,
+        method = rjd3toolkit::.enum_extract(x13.OutlierMethod, pspec$outlier$method),
+        monthlytcrate = pspec$outlier$monthly_tc_rate,
+        maxiter = pspec$outlier$maxiter,
+        lsrun = pspec$outlier$lsrun
     )
 
-    td<-list(
-        td=rjd3toolkit::.enum_sextract(modelling.TradingDays, pspec$regression$td$td),
-        lp=rjd3toolkit::.enum_extract(modelling.LengthOfPeriod, pspec$regression$td$lp),
-        holidays=pspec$regression$td$holidays,
-        users=unlist(pspec$regression$td$users),
-        w=pspec$regression$td$w,
-        test=rjd3toolkit::.enum_extract(x13.RegressionTest, pspec$regression$td$test),
-        auto=rjd3toolkit::.enum_extract(x13.AutomaticTradingDays, pspec$regression$td$auto),
-        autoadjust=pspec$regression$td$auto_adjust,
-        tdcoefficients=rjd3toolkit::.p2r_parameters(pspec$regression$td$tdcoefficients),
-        lpcoefficient=rjd3toolkit::.p2r_parameter(pspec$regression$td$lpcoefficient),
-        ptest1=pspec$regression$td$ptest1,
-        ptest2=pspec$regression$td$ptest2
+    td <- list(
+        td = rjd3toolkit::.enum_sextract(modelling.TradingDays, pspec$regression$td$td),
+        lp = rjd3toolkit::.enum_extract(modelling.LengthOfPeriod, pspec$regression$td$lp),
+        holidays = pspec$regression$td$holidays,
+        users = unlist(pspec$regression$td$users),
+        w = pspec$regression$td$w,
+        test = rjd3toolkit::.enum_extract(x13.RegressionTest, pspec$regression$td$test),
+        auto = rjd3toolkit::.enum_extract(x13.AutomaticTradingDays, pspec$regression$td$auto),
+        autoadjust = pspec$regression$td$auto_adjust,
+        tdcoefficients = rjd3toolkit::.p2r_parameters(pspec$regression$td$tdcoefficients),
+        lpcoefficient = rjd3toolkit::.p2r_parameter(pspec$regression$td$lpcoefficient),
+        ptest1 = pspec$regression$td$ptest1,
+        ptest2 = pspec$regression$td$ptest2
     )
 
-    easter<-list(
-        type=rjd3toolkit::.enum_extract(x13.EasterType, pspec$regression$easter$type),
-        duration=pspec$regression$easter$duration,
-        test=rjd3toolkit::.enum_extract(x13.RegressionTest, pspec$regression$easter$test),
-        coefficient=rjd3toolkit::.p2r_parameter(pspec$regression$easter$coefficient)
+    easter <- list(
+        type = rjd3toolkit::.enum_extract(x13.EasterType, pspec$regression$easter$type),
+        duration = pspec$regression$easter$duration,
+        test = rjd3toolkit::.enum_extract(x13.RegressionTest, pspec$regression$easter$test),
+        coefficient = rjd3toolkit::.p2r_parameter(pspec$regression$easter$coefficient)
     )
 
     # TODO: complete regression
-    regression<-list(
-        mean=rjd3toolkit::.p2r_parameter(pspec$regression$mean),
-        check_mean=pspec$regression$check_mean,
-        td=td,
-        easter=easter,
-        outliers=rjd3toolkit::.p2r_outliers(pspec$regression$outliers),
-        users=rjd3toolkit::.p2r_uservars(pspec$regression$users),
-        interventions=rjd3toolkit::.p2r_ivs(pspec$regression$interventions),
-        ramps=rjd3toolkit::.p2r_ramps(pspec$regression$ramps)
+    regression <- list(
+        mean = rjd3toolkit::.p2r_parameter(pspec$regression$mean),
+        check_mean = pspec$regression$check_mean,
+        td = td,
+        easter = easter,
+        outliers = rjd3toolkit::.p2r_outliers(pspec$regression$outliers),
+        users = rjd3toolkit::.p2r_uservars(pspec$regression$users),
+        interventions = rjd3toolkit::.p2r_ivs(pspec$regression$interventions),
+        ramps = rjd3toolkit::.p2r_ramps(pspec$regression$ramps)
     )
 
-    estimate<-list(
-        span=rjd3toolkit::.p2r_span(pspec$estimate$span),
-        tol=pspec$estimate$tol
+    estimate <- list(
+        span = rjd3toolkit::.p2r_span(pspec$estimate$span),
+        tol = pspec$estimate$tol
     )
     return(structure(
         list(
-            basic=basic,
-            transform=transform,
-            outlier=outlier,
-            arima=arima,
-            automodel=automodel,
-            regression=regression,
-            estimate=estimate
+            basic = basic,
+            transform = transform,
+            outlier = outlier,
+            arima = arima,
+            automodel = automodel,
+            regression = regression,
+            estimate = estimate
         ),
-        class="JD3_REGARIMA_SPEC"))
+        class = "JD3_REGARIMA_SPEC"
+    ))
 }
 
 
-.r2p_spec_regarima<-function(r){
-    p<-x13.RegArimaSpec$new()
+.r2p_spec_regarima <- function(r) {
+    p <- x13.RegArimaSpec$new()
     # BIAS
-    p$basic$preliminary_check<-r$basic$preliminaryCheck
-    p$basic$preprocessing<-r$basic$preprocessing
-    p$basic$span<-rjd3toolkit::.r2p_span(r$basic$span)
+    p$basic$preliminary_check <- r$basic$preliminaryCheck
+    p$basic$preprocessing <- r$basic$preprocessing
+    p$basic$span <- rjd3toolkit::.r2p_span(r$basic$span)
 
     # TRANSFORM
-    p$transform$transformation<-rjd3toolkit::.enum_of(modelling.Transformation, r$transform$fn, "FN")
-    p$transform$adjust<-rjd3toolkit::.enum_of(modelling.LengthOfPeriod, r$transform$adjust, "LP")
-    p$transform$aicdiff<-r$transform$aicdiff
-    p$transform$outliers_correction<-r$transform$outliers
+    p$transform$transformation <- rjd3toolkit::.enum_of(modelling.Transformation, r$transform$fn, "FN")
+    p$transform$adjust <- rjd3toolkit::.enum_of(modelling.LengthOfPeriod, r$transform$adjust, "LP")
+    p$transform$aicdiff <- r$transform$aicdiff
+    p$transform$outliers_correction <- r$transform$outliers
 
     # OUTLIER
-    p$outlier$outliers<-lapply(r$outlier$outliers, function(z)
-    {t<-x13.RegArimaSpec$OutlierSpec$Type$new();t$code<-z$type; t$va<-z$va; return(t)})
-    p$outlier$span<-rjd3toolkit::.r2p_span(r$outlier$span)
-    p$outlier$defva<-r$outlier$defva
-    p$outlier$method<-rjd3toolkit::.enum_of(x13.OutlierMethod, r$outlier$method, "OUTLIER")
-    p$outlier$monthly_tc_rate<-r$outlier$monthlytcrate
-    p$outlier$maxiter<-r$outlier$maxiter
-    p$outlier$lsrun<-r$outlier$lsrun
-
-    #AMI
-
-    p$automodel$enabled<-r$automodel$enabled
-    p$automodel$ljungbox<-r$automodel$ljungbox
-    p$automodel$tsig<-r$automodel$tsig
-    p$automodel$predcv<-r$automodel$predcv
-    p$automodel$ubfinal<-r$automodel$ubfinal
-    p$automodel$ub1<-r$automodel$ub1
-    p$automodel$ub2<-r$automodel$ub2
-    p$automodel$cancel<-r$automodel$cancel
-    p$automodel$fct<-r$automodel$fct
-    p$automodel$acceptdef<-r$automodel$acceptdef
-    p$automodel$mixed<-r$automodel$mixed
-    p$automodel$balanced<-r$automodel$balanced
-
-    #ARIMA
-    p$arima<-rjd3toolkit::.r2p_spec_sarima(r$arima)
-
-    #REGRESSION
-
-    p$regression$mean<-rjd3toolkit::.r2p_parameter(r$regression$mean)
-    p$regression$check_mean<-r$regression$check_mean
-    p$regression$outliers<-rjd3toolkit::.r2p_outliers(r$regression$outliers)
-    p$regression$users<-rjd3toolkit::.r2p_uservars(r$regression$users)
-    p$regression$interventions<-rjd3toolkit::.r2p_ivs(r$regression$interventions)
-    p$regression$ramps<-rjd3toolkit::.r2p_ramps(r$regression$ramps)
-
-    #TD
-    p$regression$td$td<-rjd3toolkit::.enum_sof(modelling.TradingDays, r$regression$td$td)
-    p$regression$td$lp<-rjd3toolkit::.enum_of(modelling.LengthOfPeriod, r$regression$td$lp, "LP")
-    p$regression$td$holidays<-r$regression$td$holidays
-    p$regression$td$users<-r$regression$td$users
-    p$regression$td$w<-r$regression$td$w
-    p$regression$td$test <-rjd3toolkit::.enum_of(x13.RegressionTest, r$regression$td$test, "TEST")
-    p$regression$td$auto <-rjd3toolkit::.enum_of(x13.AutomaticTradingDays, r$regression$td$auto, "TD")
-    p$regression$td$auto_adjust <-r$regression$td$autoadjust
-    p$regression$td$tdcoefficients<-rjd3toolkit::.r2p_parameters(r$regression$td$tdcoefficients)
-    p$regression$td$lpcoefficient<-rjd3toolkit::.r2p_parameter(r$regression$td$lpcoefficient)
-    p$regression$td$ptest1<-r$regression$td$ptest1
-    p$regression$td$ptest2<-r$regression$td$ptest2
-
-    #EASTER
-    p$regression$easter$type<-rjd3toolkit::.enum_of(x13.EasterType, r$regression$easter$type, "EASTER")
-    p$regression$easter$duration<-r$regression$easter$duration
-    p$regression$easter$test<-rjd3toolkit::.enum_of(x13.RegressionTest, r$regression$easter$test, "TEST")
-    p$regression$easter$coefficient<-rjd3toolkit::.r2p_parameter(r$regression$easter$coefficient)
-
-    #ESTIMATE
-    p$estimate$span<-rjd3toolkit::.r2p_span(r$estimate$span)
-    p$estimate$tol<-r$estimate$tol
+    p$outlier$outliers <- lapply(X = r$outlier$outliers, FUN = function(z) {
+        t <- x13.RegArimaSpec$OutlierSpec$Type$new()
+        t$code <- z$type
+        t$va <- z$va
+        return(t)
+    })
+    p$outlier$span <- rjd3toolkit::.r2p_span(r$outlier$span)
+    p$outlier$defva <- r$outlier$defva
+    p$outlier$method <- rjd3toolkit::.enum_of(x13.OutlierMethod, r$outlier$method, "OUTLIER")
+    p$outlier$monthly_tc_rate <- r$outlier$monthlytcrate
+    p$outlier$maxiter <- r$outlier$maxiter
+    p$outlier$lsrun <- r$outlier$lsrun
+
+    # AMI
+
+    p$automodel$enabled <- r$automodel$enabled
+    p$automodel$ljungbox <- r$automodel$ljungbox
+    p$automodel$tsig <- r$automodel$tsig
+    p$automodel$predcv <- r$automodel$predcv
+    p$automodel$ubfinal <- r$automodel$ubfinal
+    p$automodel$ub1 <- r$automodel$ub1
+    p$automodel$ub2 <- r$automodel$ub2
+    p$automodel$cancel <- r$automodel$cancel
+    p$automodel$fct <- r$automodel$fct
+    p$automodel$acceptdef <- r$automodel$acceptdef
+    p$automodel$mixed <- r$automodel$mixed
+    p$automodel$balanced <- r$automodel$balanced
+
+    # ARIMA
+    p$arima <- rjd3toolkit::.r2p_spec_sarima(r$arima)
+
+    # REGRESSION
+
+    p$regression$mean <- rjd3toolkit::.r2p_parameter(r$regression$mean)
+    p$regression$check_mean <- r$regression$check_mean
+    p$regression$outliers <- rjd3toolkit::.r2p_outliers(r$regression$outliers)
+    p$regression$users <- rjd3toolkit::.r2p_uservars(r$regression$users)
+    p$regression$interventions <- rjd3toolkit::.r2p_ivs(r$regression$interventions)
+    p$regression$ramps <- rjd3toolkit::.r2p_ramps(r$regression$ramps)
+
+    # TD
+    p$regression$td$td <- rjd3toolkit::.enum_sof(modelling.TradingDays, r$regression$td$td)
+    p$regression$td$lp <- rjd3toolkit::.enum_of(modelling.LengthOfPeriod, r$regression$td$lp, "LP")
+    p$regression$td$holidays <- r$regression$td$holidays
+    p$regression$td$users <- r$regression$td$users
+    p$regression$td$w <- r$regression$td$w
+    p$regression$td$test <- rjd3toolkit::.enum_of(x13.RegressionTest, r$regression$td$test, "TEST")
+    p$regression$td$auto <- rjd3toolkit::.enum_of(x13.AutomaticTradingDays, r$regression$td$auto, "TD")
+    p$regression$td$auto_adjust <- r$regression$td$autoadjust
+    p$regression$td$tdcoefficients <- rjd3toolkit::.r2p_parameters(r$regression$td$tdcoefficients)
+    p$regression$td$lpcoefficient <- rjd3toolkit::.r2p_parameter(r$regression$td$lpcoefficient)
+    p$regression$td$ptest1 <- r$regression$td$ptest1
+    p$regression$td$ptest2 <- r$regression$td$ptest2
+
+    # EASTER
+    p$regression$easter$type <- rjd3toolkit::.enum_of(x13.EasterType, r$regression$easter$type, "EASTER")
+    p$regression$easter$duration <- r$regression$easter$duration
+    p$regression$easter$test <- rjd3toolkit::.enum_of(x13.RegressionTest, r$regression$easter$test, "TEST")
+    p$regression$easter$coefficient <- rjd3toolkit::.r2p_parameter(r$regression$easter$coefficient)
+
+    # ESTIMATE
+    p$estimate$span <- rjd3toolkit::.r2p_span(r$estimate$span)
+    p$estimate$tol <- r$estimate$tol
 
     return(p)
 }
 
 
-.p2r_spec_x11<-function(p){
-
+.p2r_spec_x11 <- function(p) {
     return(structure(list(
-        mode=rjd3toolkit::.enum_extract(sa.DecompositionMode, p$mode),
-        seasonal=p$seasonal,
-        henderson=p$henderson,
-        sfilters=sapply(p$sfilters, function(z){rjd3toolkit::.enum_extract(x13.SeasonalFilter, z)}),
-        lsig=p$lsig,
-        usig=p$usig,
-        nfcasts=p$nfcasts,
-        nbcasts=p$nbcasts,
-        sigma=rjd3toolkit::.enum_extract(x13.CalendarSigma, p$sigma),
-        vsigmas=p$vsigmas,
-        excludefcasts=p$exclude_fcasts,
-        bias=rjd3toolkit::.enum_extract(x13.BiasCorrection, p$bias)
-    ), class="JD3_X11_SPEC"))
+        mode = rjd3toolkit::.enum_extract(sa.DecompositionMode, p$mode),
+        seasonal = p$seasonal,
+        henderson = p$henderson,
+        sfilters = sapply(p$sfilters, function(z) {
+            rjd3toolkit::.enum_extract(x13.SeasonalFilter, z)
+        }),
+        lsig = p$lsig,
+        usig = p$usig,
+        nfcasts = p$nfcasts,
+        nbcasts = p$nbcasts,
+        sigma = rjd3toolkit::.enum_extract(x13.CalendarSigma, p$sigma),
+        vsigmas = p$vsigmas,
+        excludefcasts = p$exclude_fcasts,
+        bias = rjd3toolkit::.enum_extract(x13.BiasCorrection, p$bias)
+    ), class = "JD3_X11_SPEC"))
 }
 
 
-.r2p_spec_x11<-function(r){
-    p<-x13.X11Spec$new()
-    p$mode<- rjd3toolkit::.enum_of(x13.DecompositionMode, r$mode, "MODE")
-    p$seasonal<-r$seasonal
-    p$henderson<-r$henderson
-    p$sfilters<-sapply(r$sfilters, function(z){rjd3toolkit::.enum_of(x13.SeasonalFilter, z, "SEASONAL")} )
-    p$lsig<-r$lsig
-    p$usig<-r$usig
-    p$nfcasts<-r$nfcasts
-    p$nbcasts<-r$nbcasts
-    p$sigma<-rjd3toolkit::.enum_of(x13.CalendarSigma, r$sigma, "SIGMA")
-    p$vsigmas<-r$vsigmas
-    p$exclude_fcasts<-r$excludefcasts
-    p$bias<-rjd3toolkit::.enum_of(x13.BiasCorrection, r$bias, "BIAS")
+.r2p_spec_x11 <- function(r) {
+    p <- x13.X11Spec$new()
+    p$mode <- rjd3toolkit::.enum_of(x13.DecompositionMode, r$mode, "MODE")
+    p$seasonal <- r$seasonal
+    p$henderson <- r$henderson
+    p$sfilters <- sapply(r$sfilters, function(z) {
+        rjd3toolkit::.enum_of(x13.SeasonalFilter, z, "SEASONAL")
+    })
+    p$lsig <- r$lsig
+    p$usig <- r$usig
+    p$nfcasts <- r$nfcasts
+    p$nbcasts <- r$nbcasts
+    p$sigma <- rjd3toolkit::.enum_of(x13.CalendarSigma, r$sigma, "SIGMA")
+    p$vsigmas <- r$vsigmas
+    p$exclude_fcasts <- r$excludefcasts
+    p$bias <- rjd3toolkit::.enum_of(x13.BiasCorrection, r$bias, "BIAS")
     return(p)
 }
 
-.p2r_spec_x13<-function(pspec){
+.p2r_spec_x13 <- function(pspec) {
     return(structure(list(
-        regarima=.p2r_spec_regarima(pspec$regarima),
-        x11=.p2r_spec_x11(pspec$x11),
-        benchmarking=rjd3toolkit::.p2r_spec_benchmarking(pspec$benchmarking)
-    ), class="JD3_X13_SPEC"))
+        regarima = .p2r_spec_regarima(pspec$regarima),
+        x11 = .p2r_spec_x11(pspec$x11),
+        benchmarking = rjd3toolkit::.p2r_spec_benchmarking(pspec$benchmarking)
+    ), class = "JD3_X13_SPEC"))
 }
 
-.r2p_spec_x13<-function(r){
-    p<-x13.Spec$new()
-    p$regarima<-.r2p_spec_regarima(r$regarima)
-    p$x11<-.r2p_spec_x11(r$x11)
-    p$benchmarking<-rjd3toolkit::.r2p_spec_benchmarking(r$benchmarking)
+.r2p_spec_x13 <- function(r) {
+    p <- x13.Spec$new()
+    p$regarima <- .r2p_spec_regarima(r$regarima)
+    p$x11 <- .r2p_spec_x11(r$x11)
+    p$benchmarking <- rjd3toolkit::.r2p_spec_benchmarking(r$benchmarking)
     return(p)
 }
diff --git a/R/zzz.R b/R/zzz.R
index 3fedb63..5302c15 100644
--- a/R/zzz.R
+++ b/R/zzz.R
@@ -4,17 +4,17 @@
 
 
 .onLoad <- function(libname, pkgname) {
+    if (!requireNamespace("rjd3toolkit", quietly = TRUE)) stop("Loading rjd3 libraries failed")
 
-  if (!requireNamespace("rjd3toolkit", quietly = TRUE)) stop("Loading rjd3 libraries failed")
+    result <- .jpackage(pkgname, lib.loc = libname)
+    if (!result) stop("Loading java packages failed")
 
-  result <- .jpackage(pkgname, lib.loc=libname)
-  if (!result) stop("Loading java packages failed")
+    proto.dir <- system.file("proto", package = pkgname)
+    readProtoFiles2(protoPath = proto.dir)
 
-  proto.dir <- system.file("proto", package = pkgname)
-  readProtoFiles2(protoPath = proto.dir)
-
-  # reload extractors
-  rjd3toolkit::reload_dictionaries()
-  if(is.null(getOption("summary_info")))
-      options(summary_info = TRUE)
+    # reload extractors
+    rjd3toolkit::reload_dictionaries()
+    if (is.null(getOption("summary_info"))) {
+        options(summary_info = TRUE)
+    }
 }
diff --git a/README.Rmd b/README.Rmd
index 62bb80b..8d42349 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -77,7 +77,7 @@ remotes::install_github("rjdverse/rjd3x13")
 library("rjd3x13")
 
 y <- rjd3toolkit::ABS$X0.2.09.10.M
-x13_model <- x13(y) 
+x13_model <- x13(y)
 summary(x13_model$result$preprocessing) # Summary of regarima model
 
 plot(x13_model) # Plot of the final decomposition
diff --git a/README.md b/README.md
index a44ec50..048cc3c 100644
--- a/README.md
+++ b/README.md
@@ -75,10 +75,10 @@ remotes::install_github("rjdverse/rjd3x13")
 library("rjd3x13")
 
 y <- rjd3toolkit::ABS$X0.2.09.10.M
-x13_model <- x13(y) 
+x13_model <- x13(y)
 summary(x13_model$result$preprocessing) # Summary of regarima model
 #> Log-transformation: yes 
-#> SARIMA model:  (2,1,1) (0,1,1)
+#> SARIMA model: (2,1,1) (0,1,1)
 #> 
 #> Coefficients
 #>           Estimate Std. Error  T-stat Pr(>|t|)    
@@ -92,15 +92,15 @@ summary(x13_model$result$preprocessing) # Summary of regarima model
 #> Regression model:
 #>                   Estimate Std. Error T-stat Pr(>|t|)    
 #> td               0.0023233  0.0006844  3.395 0.000755 ***
-#> easter           0.0520113  0.0084894  6.127 2.13e-09 ***
-#> TC (2000-06-01)  0.1590340  0.0288578  5.511 6.37e-08 ***
-#> AO (2000-07-01) -0.2900774  0.0400551 -7.242 2.25e-12 ***
+#> easter           0.0520113  0.0084894  6.127 2.14e-09 ***
+#> TC (2000-06-01)  0.1590340  0.0288578  5.511 6.38e-08 ***
+#> AO (2000-07-01) -0.2900774  0.0400551 -7.242 2.26e-12 ***
 #> ---
 #> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
-#> Number of observations:  425 , Number of effective observations:  412 , Number of parameters:  9 
-#> Loglikelihood:  746.7517, Adjusted loglikelihood:  -2120.875
-#> Standard error of the regression (ML estimate):  0.03927991 
-#> AIC:  4259.75 , AICc:  4260.198 , BIC:  4295.939
+#> Number of observations: 425, Number of effective observations: 412, Number of parameters: 9
+#> Loglikelihood: 746.7517, Adjusted loglikelihood: -2120.875
+#> Standard error of the regression (ML estimate): 0.03927991 
+#> AIC: 4259.75, AICc: 4260.198, BIC: 4295.939
 
 plot(x13_model) # Plot of the final decomposition
 ```
diff --git a/man/figures/logo.png b/man/figures/logo.png
index e7a2dc0..d5a7f8f 100644
Binary files a/man/figures/logo.png and b/man/figures/logo.png differ
diff --git a/man/figures/logo.svg b/man/figures/logo.svg
index c189ad4..c4863ec 100644
--- a/man/figures/logo.svg
+++ b/man/figures/logo.svg
@@ -3,14 +3,10 @@
 <svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
 	 viewBox="0 0 491 566.9" style="enable-background:new 0 0 491 566.9;" xml:space="preserve">
 <style type="text/css">
-	.st0{fill:#FEFBD9;}
-	.st1{fill:#BBB032;}
-	.st2{fill:#BB334A;}
-	.st3{fill:#216C36;}
-	.st4{font-family:'NexaBold';}
-	.st5{font-size:74.4768px;}
-	.st6{font-family:'Helvetica';}
-	.st7{font-size:19.4519px;}
+	.st0{fill:#FFFFFF;}
+	.st1{fill:#E22735;}
+	.st2{fill:#1D437D;}
+	.st3{fill:#CDCCCC;}
 </style>
 <g id="Prisme">
 </g>
@@ -20,303 +16,320 @@
 	<polygon class="st0" points="245.5,547.6 16.8,415.5 16.8,151.4 245.5,19.4 474.2,151.4 474.2,415.5 	"/>
 </g>
 <g id="Calque_5">
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