diff --git a/fluents/lib/blmfuncs.py b/fluents/lib/blmfuncs.py
index f9afe52..588ed35 100644
--- a/fluents/lib/blmfuncs.py
+++ b/fluents/lib/blmfuncs.py
@@ -21,8 +21,8 @@ import blmplots
 class Model(Function):
     """Base class of bilinear models.
     """
-    def __init__(self,id='johndoe',name='JohnDoe'):
-        Function.__init__(self,id,name)
+    def __init__(self, id='johndoe', name='JohnDoe'):
+        Function.__init__(self, id, name)
         self.name = name
         self._options = None
         self._data = {}
@@ -39,8 +39,8 @@ class Model(Function):
     
 
 class PCA(Model):
-    def __init__(self,id='pca',name='PCA'):
-        Model.__init__(self,id,name)
+    def __init__(self, id='pca', name='PCA'):
+        Model.__init__(self, id, name)
         self._options = PcaOptions()
         
     def validation(self, amax, cv_val_sets, pert_val_sets, cv_val_method, pert_val_method):
@@ -63,6 +63,7 @@ class PCA(Model):
         if self._options['auto_aopt']:
             logger.log("notice", "Auto aopt: " + str(aopt))
             self._options['aopt'] = aopt
+
         if aopt==1:
             logger.log('notice', 'Aopt at first component!')
         
@@ -70,6 +71,8 @@ class PCA(Model):
                    crot, strict, cov_center ):
         """Returns a confidence measure for model parameters.
         Based on aopt.
+
+        Added model parts: p_tsq
         """
         if aopt<2:
             aopt = 2