Nelson: 1. Please read the posting guide: your question is practically unintelligible. You are far more likely to get a useful response if you follow its recommendations.
2. However, I'll make a stab. **If** what you mean is simply to be able to choose arbitrary contrasts to estimate in linear models see ?lm, ?contrasts, ?C -- it can already been done. You may also be interested in pp 146-149 (the section on Contrast Matrices)in V&R's MASS Fourth Edition (a most useful book to have on your shelf, IMHO), which I believe may be exactly what you're looking for. The gregmisc package/bundle, among others, may also contain some useful functions for you to fit arbitrary contrasts, I think. Cheers, Bert Gunter Genentech -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Villoria, Nelson B Sent: Monday, May 19, 2008 8:25 AM To: r-help@r-project.org Subject: [R] Least Squares Restricted Estimator It is there any implementation of a Least Squares Restricted Estimator for a single equation in R? I have seen in the list some examples in which linear constraints are embedded within the equation, but let's say that I have a large number of coefficients (on factors) that I want them to sum up to 0 (so I can include an intercept, the full set of factors, and avoid the dummy trap). Is there any way to impose the restrictions in some matrix fashion (i.e. Rb = q)? Thanks, Nelson Villoria [[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.
