On 04-03-2014, at 12:38, klq...@mail.bg wrote:

> I don't have any cost function to minimize. My task is to create the "best" 
> matrix, matching the row sums, the column sums, row sumproducts (with the 
> rows from another constant matrix) and also column sumproducts - it's a 
> transportation problem of finding OD matrix corresponding the total tonnage 
> and tonne-kilometres. Maybe the more suitable function would be "lsei", but 
> it retuns also negative values for some X-es. Do you have an idea where in 
> the code to put some verification for non-negative results?
> 

From the manual entry of lsei it seems that you should specify matrix G and 
vector h (inputs of lsei).

Berend


PS: Please do not post in HTML (see the posting guide).

> Thanks in advance.
> 
> Best Regards.
> 
> 
> ----- Цитат от Berend Hasselman (b...@xs4all.nl), на 27.02.2014 в 21:09 -----
> 
>> 
>> On 27-02-2014, at 13:22, klq...@mail.bg wrote:
>> 
>>> 
>>> 
>>> 
>>> Dear R users,
>>> 
>>> 
>>> I have to find optimal solution of an underdetermined linear system, but
>>> only with positive variables. I tried the function from this post
>>> https://stat.ethz.ch/pipermail/r-help/2007-October/143408.html , but it's
>>> solution includes also negative values. 
>>> 
>>> 
>> 
>> Have a look at package limSolve. Maybe (and only maybe) function linp can be 
>> of use.
>> 
>> Berend
>> 
>>> Thanks in advance.
>>> 
>>> 
>>> Best Regards.
>>> 
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