Package questions to package maintainers.... please. "non-positive fis" is not an error, it is a warning -- if the number of negative fis is large relative to the sample size then there is some reason to doubt the plausibility of the specification of the model specified by the rq formula. So you can consider this _warning_ to be a diagnostic.
url: www.econ.uiuc.edu/~roger Roger Koenker email [EMAIL PROTECTED] Department of Economics vox: 217-333-4558 University of Illinois fax: 217-244-6678 Champaign, IL 61820 On Nov 14, 2007, at 6:43 PM, Arti Mann wrote: > Hi, > > Could you please explain what is non-positive fis error? I have > been trying to use quantile regression (rq) procedure and I keep > ending up with this error. I haven't been able to find an > explanation for the same. > > Best Regards, > Arti > > Arti Mann > Ph.D. Student > Department of Information Systems > W.P. Carey School of Business > Arizona State University > Email : [EMAIL PROTECTED] > > ______________________________________________ > 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.
