You don't, because the operation is not well defined. Using anova( ) on a single linear model object will fit a sequential sequence of sub-models got by adding the terms into the linear model, as they appear in the model formula, one by one.
In non-linear regression there is no unique definition of sub-model. You may have a non-linear regression consisting of a sum of terms, but if that's the way you wish to define the sequential decomposition, you have to do so explicitly and fit the models by hand. (Some people have doubts about the wisdom of allowing anova() even on a single linear model object, since the sequential of sub-models used is arbitrary even there. I think this view has a lot going for it.) Bill Venables CSIRO Laboratories PO Box 120, Cleveland, 4163 AUSTRALIA Office Phone (email preferred): +61 7 3826 7251 Fax (if absolutely necessary): +61 7 3826 7304 Mobile: +61 4 8819 4402 Home Phone: +61 7 3286 7700 mailto:[EMAIL PROTECTED] http://www.cmis.csiro.au/bill.venables/ -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Eric Ferreira Sent: Thursday, 20 March 2008 4:21 AM To: r-help@r-project.org Subject: [R] Anova of a nls object Dear useRs, How can I perform the analysis of variance of just one nls object? Regards -- Eric B Ferreira Exact Sciences Department Federal University of Lavras Minas Gerais - Brazil [[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. ______________________________________________ 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.
