appreciate replying.. I'll go through these packages documentation. Regards
---------------------------------------- > Subject: Re: [R] {non} linear model solving > From: dwinsem...@comcast.net > Date: Mon, 16 Nov 2015 16:39:31 -0800 > CC: r.tur...@auckland.ac.nz; r-help@r-project.org > To: ragi...@hotmail.com > > >> On Nov 16, 2015, at 4:01 PM, Ragia Ibrahim <ragi...@hotmail.com> wrote: >> >> thanks for replying. >> >> the question about non linear model, I formed it incorrectly, I have a >> single objective multi constrain non linear model..I searched some R library >> to solve it, is there any tutorial step by step for such problem I can >> follow. > > I don’t see how this advances the discussion. It is hardly any more specific > than the vague question you posted earlier. There has already been quite a > bit of effort at building the CRAN Task Views and the Optimization Task View > should have popped up with any sort of effort on your part: > > https://cran.r-project.org/web/views/Optimization.html > > Any sort of specific response will require that you provide …… specifics. > > — > David. >> >> Best Regards >> >> ---------------------------------------- >>> Subject: Re: [R] linear model solving >>> To: ragi...@hotmail.com; r-help@r-project.org >>> From: r.tur...@auckland.ac.nz >>> Date: Mon, 16 Nov 2015 21:55:18 +1300 >>> >>> On 16/11/15 20:49, Ragia Ibrahim wrote: >>>> Dear group IF I had an objective function and some constrains formed >>>> in linear model form. is there a way,..library in R that helps me to >>>> solve such amodel and find the unknown variable in it? >>> >>> >>> This is a very ill-posed question and is unlikely to provoke any useful >>> responses. If you can't make the effort to ask a clear, precise >>> question, why should anyone make the effort to try to answer you? Even >>> if they *could* answer you. Which they can't. >>> >>> (a) Frame a proper question, providing a minimal reproducible example. >>> >>> (b) Do some googling; don't expect others to do your work for you. >>> >>> cheers, >>> >>> Rolf Turner >>> >>> -- >>> Technical Editor ANZJS >>> Department of Statistics >>> University of Auckland >>> Phone: +64-9-373-7599 ext. 88276 >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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. > > David Winsemius > Alameda, CA, USA > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.