It's hard to say without seeing the data. It could be the data, it could be the starting values, it could be the model choice.
Jean On Wed, Jun 19, 2013 at 10:45 AM, pakoun <pko...@bgc-jena.mpg.de> wrote: > Yes it should look like that... what i am doing is a variogram fit . But > the > data of course are spread almost all over.. I would guess might be problem > with the data only? > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/nls-singular-gradient-as-always-tp4669859p4669898.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. > [[alternative HTML version deleted]] ______________________________________________ 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.
