diff --git a/pyblm/crossvalidation.py b/pyblm/crossvalidation.py
index 41afde5..50a0b5c 100644
--- a/pyblm/crossvalidation.py
+++ b/pyblm/crossvalidation.py
@@ -63,7 +63,7 @@ def pca_val(a, a_max, nsets=None, center_axis=[0], method='cv'):
             # impute with mean values
             b = a.copy()
             a.put(val, new_values)
-            dat = pca(a, a_max, mode='normal', center_axis=center_axis)
+            dat = pca(a, a_max, mode='fast', center_axis=center_axis)
             Ti, Pi = dat['T'], dat['P']
             bc = b - dat['mnx']
             bc2 = b - b.mean(0)
@@ -85,14 +85,15 @@ def pca_val(a, a_max, nsets=None, center_axis=[0], method='cv'):
             e = eye(m)
             rmat = zeros((m, m))
             for j, p in enumerate(P.T):
-                d2 = diag(e) - (p**2).ravel()
+                #d2 = diag(e) - (p**2).ravel()
                 e = e - dot(p, p.T)
                 d = diag(e)
                 es = e/atleast_2d(d)
-                xhat[j,:,:] = dot(xval, es)
-                err[i, a] = (dot(xval, es)**2).sum()
+                xhat[j,cal,:] = dot(xval, es)
+                err[j,cal,:] = (xhat - xval)**2
                 
     rmsep = sqrt(err).mean(1) # take mean over samples
+    if method == ''
     rmsep2 = sqrt(err_mn).mean(1)
     aopt = rmsep.mean(-1).argmin()
     return rmsep, xhat, aopt, err, rmsep2