diff --git a/Orange/projection/pca.py b/Orange/projection/pca.py
index 717c848f1d5..c16e2f27179 100644
--- a/Orange/projection/pca.py
+++ b/Orange/projection/pca.py
@@ -285,8 +285,9 @@ def _initialize_wrapped(self, X=None, Y=None):
             else:
                 if params["iterated_power"] == "auto":
                     params["iterated_power"] = 0
+                params.pop("tol")
 
-                return dask_decomposition.PCA(**params)
+                return dask_decomposition.IncrementalPCA(**params)
 
         return self.__wraps__(**params)
 
diff --git a/Orange/tests/test_pca.py b/Orange/tests/test_pca.py
index b3dc3f6a159..36da70c471f 100644
--- a/Orange/tests/test_pca.py
+++ b/Orange/tests/test_pca.py
@@ -159,9 +159,8 @@ def test_improved_randomized_pca_sparse_data(self):
 
     @unittest.skipIf(sklearn_version.startswith('0.20'),
                      "https://github.com/scikit-learn/scikit-learn/issues/12234")
-    @with_dasktable
-    def test_incremental_pca(self, prepare_table):
-        data = prepare_table(self.ionosphere)
+    def test_incremental_pca(self):
+        data = self.ionosphere
         self.__ipca_test_helper(data, n_com=3, min_xpl_var=0.49)
         self.__ipca_test_helper(data, n_com=32, min_xpl_var=1)