diff --git a/setup.py b/setup.py
index 13f8ba92b349ac4e50f7c9029a598fbb19f94ded..111e26126588b61bebce841d5f3aa31da687087f 100755
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@ with open("README.md", "r") as fh:
 
 setuptools.setup(
     name = "impetuous-gfa",
-    version = "0.71.0",
+    version = "0.72.0",
     author = "Richard Tjörnhammar",
     author_email = "richard.tjornhammar@gmail.com",
     description = "Impetuous Quantification, a Statistical Learning library for Humans : Alignments, Clustering, Enrichments and Group Analysis",
diff --git a/src/impetuous/reducer.py b/src/impetuous/reducer.py
index 039b470b7c4af0489ad50067d39880dea2ff8c68..3cf912163a2d48d9ceaaedef41548f75333d8908 100644
--- a/src/impetuous/reducer.py
+++ b/src/impetuous/reducer.py
@@ -138,7 +138,6 @@ def kth_householder ( A , k ):
 
 def Householder_transformation ( A ):
     A     = np.array( A )
-    n , m = np.shape( A )
     n = np.min( np.shape( A ) )
     if n < 2 :
         return ( A )
@@ -148,7 +147,6 @@ def Householder_transformation ( A ):
     for k in range( 1 , n-1 ) : # ends at n-2
         P1 , A1 , Q1 = kth_householder( A0,k=k )
         A0 = A1
-        P0 = P1
         P  .append([P1,A1,Q1])
     return ( A1 , P )
 
@@ -169,7 +167,6 @@ def AugumentedReducedDecomposition ( A ) :
 
 def Householder_reduction ( A ):
     A     = np.array( A )
-    n , m = np.shape( A )
     n = np.min( np.shape( A ) )
     if n < 2 :
         return ( A )