diff --git a/scikits/learn/pca.py b/scikits/learn/pca.py
index 9c752f05094c1a8bc58b485c2cd919822cd82e3b..051879147cf18a55d7f4f13a92b1ed6d7fe3615f 100644
--- a/scikits/learn/pca.py
+++ b/scikits/learn/pca.py
@@ -80,7 +80,7 @@ def _infer_dimension_(spect, n, p):
     return ll.argmax()
 
 
-
+################################################################################
 class PCA(BaseEstimator):
     """Principal component analysis (PCA)
 
@@ -166,7 +166,7 @@ class PCA(BaseEstimator):
         return Xr
 
 
-
+################################################################################
 class ProbabilisticPCA(PCA):
     """ Additional layer on top of PCA that add a probabilistic evaluation
     """
diff --git a/scikits/learn/tests/test_pca.py b/scikits/learn/tests/test_pca.py
index 187a6c16b164ef8c73f191144fb62fc5dd4b0a31..e84e9e9c15f8d139431b9e51acde420c9a184d13 100644
--- a/scikits/learn/tests/test_pca.py
+++ b/scikits/learn/tests/test_pca.py
@@ -2,9 +2,6 @@ import numpy as np
 from numpy.random import randn
 from nose.tools import assert_true
 
-
-#from scikits.learn import datasets
-#from scikits.learn.pca import PCA, ProbabilisticPCA, _assess_dimension_, _infer_dimension_
 from .. import datasets
 from ..pca import PCA, ProbabilisticPCA, _assess_dimension_, _infer_dimension_