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...is seems not to be a problem with MARS method in general. For example, Friedman's MARS implementation (ran in Matlab) gives a rather good fit: see http://venda.uku.fi/~jmhuttun/R/Matlab.pdf . Thank you Janne -- Janne Huttunen University of California Department of Statistics 367 Evans Hall Berlekey, CA 94720-3860 email: jmhuttun at stat.berkeley.edu phone: +1-510-502-5205 office room: 449 Evans Hall

Hi, I'm trying to understand why the coefficients "a" and "b" for the model: W = a*L^b estimated via nls() differs from those obtained for the log transformed model: log(W) = log(a) + b*log(L) estimated via lm(). Also, if I didn't make a mistake, R-squared suggests a "better" adjustment for the model using coefficients estimated by lm() . Perhaps I'm