note jeroenes I see what you mean.<p> Want to clarify a bit, though, as I didn't say that principal components analysis was a good analogy. I rather said coding should accomplish the <b>opposite</b>, that is spreading to information into the functions, dividing it equally among them. <p> However stated, the analogy goes wrong because with principal components we talk about orthogonal vectors in space, while with programming we have hierarchial functions. These create a subspace of each own, and you just can not do a PCA on different subspaces. Is that what you more or less ment, [tilly]? <p> <hr> /me notes with a smile in his face how everyone approaches PCA from its own angle...., [Masem] from the chemical spectra point of view, [tilly] from a encoding point of view while I think more in pattern deviation scemes. 116172 116807