> > 8-) > 2) It is very memory hungry, esp. when using the s() function: I have > 8-) > 192Mb with 256Mb swap (not a lot, but reasonable I'd say), and I've > 8-) > never had to kill R as often as when trying gam()... > 8-) > > 8-) - do you have a very large number of data? The way mgcv works it first > 8-) finds an "optimal" basis for smoothing and this will involve formation of > > Some 10000 (x,y,z). For R, that doesn't strike me as particularly much.- The point here is that the method being used by default requires storage of a 10000 by 10000 matrix - it's not really an issue of whether 10000 is particularly much "for R". There is a cut and paste-able example for getting around this at the end of the help file for gam()... gam will be *much* faster and *much* less memory intensive if you use it. cheers, Simon