[R] {non} linear model solving

Ragia Ibrahim ragia11 at hotmail.com
Tue Nov 17 01:57:19 CET 2015

appreciate replying.. I'll go through these packages documentation.

> Subject: Re: [R] {non} linear model solving
> From: dwinsemius at comcast.net
> Date: Mon, 16 Nov 2015 16:39:31 -0800
> CC: r.turner at auckland.ac.nz; r-help at r-project.org
> To: ragia11 at hotmail.com
>> On Nov 16, 2015, at 4:01 PM, Ragia Ibrahim <ragia11 at 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: ragia11 at hotmail.com; r-help at r-project.org
>>> From: r.turner at 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 at 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

More information about the R-help mailing list