Added test on lpls, updated centering in blm, added pls_qvals

tests/test_lplsengine.py

@@ -10,8 +10,8 @@ from numpy.random import rand, randn
 from numpy.linalg import svd,norm
 restore_path()
 
-def blm_array(shape=(5,10), comp=3, noise=0,seed=1,dtype='d'):
-    assert(min(*shape)>=comp)
+def blm_array(shape=(5, 10), comp=3, noise=0, seed=1, dtype='d'):
+    assert(min(*shape) >= comp)
     random.seed(seed)
     t = rand(shape[0], comp)
     p = rand(shape[1], comp)
@@ -44,6 +44,7 @@ class LplsTestCase(NumpyTestCase):
         pass
         #raise NotImplementedError
 
+
 class testAlphaZero(LplsTestCase):
     def do(self):
         #dat = lpls(self.a, self.b, self.c, self.nc, alpha=0.0)
@@ -51,9 +52,11 @@ class testAlphaZero(LplsTestCase):
         #assert_almost_equal(t1, t2)
         pass
     
+
 class testAlphaOne(LplsTestCase):
     pass
 
+
 class testZidentity(LplsTestCase):
     def do(self):
         I = eye(self.a.shape[1])
@@ -61,6 +64,7 @@ class testZidentity(LplsTestCase):
         dat2 = lpls(self.a, self.b, self.c, self.nc, alpha=0.0)
         assert_almost_equal(dat['T'], dat2['T'])
 
+
 class testYidentity(LplsTestCase):
     def do(self):
         I = eye(self.b.shape[0], dtype=self.a.dtype)
@@ -69,33 +73,43 @@ class testYidentity(LplsTestCase):
         T = u*s
         assert_almost_equal(abs(T0), abs(T[:,:self.nc]),5)
 
+
 class testWideX(LplsTestCase):
     pass
 
+
 class testTallX(LplsTestCase):
     pass
 
+
 class testWideY(LplsTestCase):
     pass
 
+
 class testTallY(LplsTestCase):
     pass
 
+
 class testWideZ(LplsTestCase):
     pass
 
+
 class testTallZ(LplsTestCase):
     pass
 
+
 class testRankDeficientX(LplsTestCase):
     pass
 
+
 class testRankDeficientY(LplsTestCase):
     pass
 
+
 class testRankDeficientZ(LplsTestCase):
     pass
 
+
 class testCenterX(LplsTestCase):
     def do(self):
         T = lpls(self.a, self.b, self.c, self.nc, mean_ctr=[0,-1,-1])['T']