if your regression under gaussian assumption, then you can't constraint your predicted to be positive. I don't know much about your dep in the model. but given more appropriate distribution assumption, the constraint is doable. One possibility that I can think of is poisson.
On 9/25/07, Westley Ritz <[EMAIL PROTECTED]> wrote: > I have a WLS regression with 1 dependent variable and 3 independent > variables. I wish to constrain the predicted values (the fitted values) so > that they are greater than zero (i.e. they are positive). I do not know how > to impose this constraint in R. Please respond if you have any suggestions. > > There are some previous postings about constraining the coefficients, but > this won't accomplish what I am trying to do. The coefficients can be > negative, just as long as the predicted values are positive. > > Thank you in advance for your time. > > Westley A. Ritz > Analyst > 215-641-2243 > [EMAIL PROTECTED] > > TRC > www.trchome.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. > > -- =============================== "I am dying with the help of too many physicians." - Alexander the Great, on his deathbed =============================== WenSui Liu (http://spaces.msn.com/statcompute/blog) ______________________________________________ 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.
