well, this isn't a perfect solution. polyfit is better because it determines rank based on condition values. Finds the eigenvalues ... etc. But, unless it can vectorized without Python looping, it's too slow for me to use
Mathew [email protected] wrote: > > > > If you remove the mean from x and y (along axis = 1) then can't you > just do something like > > (x*y).sum(1) / (x*x).sum(axis=1) > > > > I think that's what I said 8 days ago. > > Josef > _______________________________________________ Numpy-discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
