Gabor Grothendieck wrote:
See ?Rprof for profiling your R code. If lm is the culprit, rewriting your lm calls using lm.fit might help.
Yes, based on my informal benchmarking, lm is the main "bottleneck", the rest of the code consists mostly of vector manipulations and control structures. I am not familiar with lm.fit, I'll definitely look it up. I hope it's similar enough to make it easy to substitute one for the other. Thanks for the suggestion, much appreciated. (My runs now take sometimes several hours, it would be great to cut that time down by any amount :-) Esmail ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
