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...cated the first time!) > > Thank you, vito for these functions: I've been able to look > at the smoothing spline matrix and its derivatives that I > constucted with functions "create.bspline.basis" and > "smooth.basis" > > Understanding from Hastie and Tishbirani that the > S(lambda)-- the penalty matrix > > decreases in magnitude compared to the matrix [y[i,j] - > f(x)] would it not be of fundamental importance to > > have the penalty matrix be the same magnitude? > > That is to get both matrices in the smooth, i.e, > > SS...

Hello, I've noticed that SPLUS seems to have a function for evaluating derivative matrices of splines. I've found the R function that evaluates matrices from 'smooth.spline'; maybe someone has written something to do the same with smooth.basis? regards, s