diff --git a/bob/bio/base/algorithm/LDA.py b/bob/bio/base/algorithm/LDA.py
index 5bcc21e606b17acf78b79d47024e078f628c768c..26b507e2a8fd3c58e419ab24c2b76574deabb4d8 100644
--- a/bob/bio/base/algorithm/LDA.py
+++ b/bob/bio/base/algorithm/LDA.py
@@ -180,7 +180,7 @@ class LDA (Algorithm):
     if self.lda_subspace is not None:
       self.machine.resize(self.machine.shape[0], self.lda_subspace)
       self.variances = self.variances.copy()
-      self.variances.resize(self.lda_subspace)
+      self.variances = numpy.resize(self.variances, (self.lda_subspace))
 
     if self.pca_subspace is not None:
       # compute combined PCA/LDA projection matrix
diff --git a/bob/bio/base/algorithm/PCA.py b/bob/bio/base/algorithm/PCA.py
index d62faf5cafd49235826c234ddf6e47461c4f4fb1..a856292de17232b7af780f07d00b9c780ddf6a8b 100644
--- a/bob/bio/base/algorithm/PCA.py
+++ b/bob/bio/base/algorithm/PCA.py
@@ -109,7 +109,7 @@ class PCA (Algorithm):
     logger.info("    ... Keeping %d PCA dimensions", self.subspace_dim)
     # re-shape machine
     self.machine.resize(self.machine.shape[0], self.subspace_dim)
-    self.variances.resize(self.subspace_dim)
+    self.variances = numpy.resize(self.variances, (self.subspace_dim))
 
     f = bob.io.base.HDF5File(projector_file, "w")
     f.set("Eigenvalues", self.variances)