diff --git a/scikits/learn/lda.py b/scikits/learn/lda.py
index 25b05d8008a125496368984c08c87062ca1220ca..904a314634814727fd8580c4f35518d76ab37d82 100644
--- a/scikits/learn/lda.py
+++ b/scikits/learn/lda.py
@@ -146,7 +146,7 @@ class LDA(BaseEstimator, ClassifierMixin):
         X = np.dot(((np.sqrt((n_samples * self.priors_)*fac)) *
                           (means - xbar).T).T, scaling)
         # Centers are living in a space with n_classes-1 dim (maximum)
-        # Use svd to find projection in the space spamed by the
+        # Use svd to find projection in the space spanned by the
         # (n_classes) centers
         _, S, V = linalg.svd(X, full_matrices=0)