On Tue, Jan 19, 2010 at 02:58:32PM -0600, Robert Kern wrote: > > I am not sure that what I am doing is optimal.
> If confounds is orthonormal, then there is no need to use lstsq(). > y = y - np.dot(np.dot(confounds, y), confounds) Unfortunately, confounds is not orthonormal, and as it is different at each call, I cannot orthogonalise it as a preprocessing. Thanks, Gaƫl _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
