On Thu, Jul 12, 2012 at 3:02 PM, Felipe Carrillo <mazatlanmex...@yahoo.com> wrote: > Thanks Bert, I increased the number of iterations: > > M_model <- nls(weight ~ alpha + > beta*exp(gamma*week),control=nls.control(maxiter=200), weightData, > start = c(alpha = 0.0, beta = 1, gamma = 0.2), trace = TRUE) > > But now the 'start' argument seems to be the problem. > Looking at the model coefficients: > alpha beta gamma > -49.108008320 52.394172340 0.005269907 > If I change the alpha and beta values inside start..I still get the error...
Try using the plinear algorithm: nls(weight ~ cbind(1, exp(gamma*week)), weightData, start = list(gamma = 0.2), alg = "plinear") -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com ______________________________________________ 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.
