This isn't a nonlinear QR problem. You can write: f <- rq(y ~ log(x), data=Dat, tau=0.25)
which corresponds to the model Q_y (.25|x) = a log(x) + b note the sign convention on b. url: www.econ.uiuc.edu/~roger Roger Koenker email [EMAIL PROTECTED] Department of Economics vox: 217-333-4558 University of Illinois fax: 217-244-6678 Champaign, IL 61820 On Dec 2, 2006, at 1:47 PM, Ricardo Bessa wrote: > Hello, I’m with a problem in using nonlinear quantile regression, the > function nlrq. > I want to do a quantile regression o nonlinear function in the form > a*log(x)-b, the coefficients “a” and “b” is my objective. I try to > use the > command: > > funx <- function(x,a,b){ > res <- a*log(x)-b > res > } > > Dat.nlrq <- nlrq(y ~ funx(x, a, b), data=Dat, tau=0.25, trace=TRUE) > > But a can’t solve de problem, How I put the formula “y ~ funx(x,a,b)”? > > _________________________________________________________________ > MSN Busca: fácil, rápido, direto ao ponto. http://search.msn.com.br > > ______________________________________________ > R-help@stat.math.ethz.ch 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. ______________________________________________ R-help@stat.math.ethz.ch 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.