Usually the source of such errors is the data you provide to the function. Since you have not followed the posting guide and provided a reproducible example, we are under a significant handicap in troubleshooting your problem. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity.
obuyacharles <csaba...@vt.edu> wrote: >I am using the gnls procedure in nlme package to fit a nonlinear model >as: >nl.fit<-gnls(Y ~ b0*exp(b1/X), > data = data1, > params=list( > b0~p1+I(p1^2)+p2+I(p2^2)+p3+I(p3^2)+p5+p6 > b1~p8+p2+I(p2^2)+p3+p9+p10+p11), > start = c(25,0,0,0,0,0,0,0,0,-8.6,0,0,0,0,0,0,0), > weights=varPower(form =~ X) > ) > >When I run this code, the model getts fitted but there are 2 warning >messages as >Warning messages: >1: In if (deparse(params[[nm]][[3]]) != "1") { : > the condition has length > 1 and only the first element will be used >2: In if (deparse(params[[nm]][[3]]) != "1") { : > the condition has length > 1 and only the first element will be used > >I have no idea what there messages imply. >Any idea from somebody? > >Charles > > > > >-- >View this message in context: >http://r.789695.n4.nabble.com/Warning-Message-In-if-deparse-params-nm-3-1-tp4643638.html >Sent from the R help mailing list archive at Nabble.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. ______________________________________________ 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.