Dear R-experts! I've been using nls() for a while for fitting my data, approx 10,000 points long. Now, I have to use low-level minimizing functions to get more control on fitting process, so I tried nlm(). And, the fitting process became *much* more slower! The question is: why? why nls() works faster? Thank you very much! Timur.