And it could be that you should try nlmrt or minpack.lm. I don't think you were at my talk in Jena May 23 -- might have been very helpful to you. JN
On 13-06-20 06:00 AM, r-help-request at r-project.org wrote:
Message: 47 Date: Wed, 19 Jun 2013 13:17:29 -0500 From: "Adams, Jean"<jvadams at usgs.gov> To: pakoun<pkount at bgc-jena.mpg.de> Cc: R help<r-help at r-project.org> Subject: Re: [R] nls singular gradient ..as always.. Message-ID: <CAN5YmCEF9Ut5J-Zqh6URYOn0bfH=M=cUGMgDmtzy9OwWkrw24A at mail.gmail.com> Content-Type: text/plain 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