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## Matrix regression of distnce matrices + non negative least square

**From**: |
Corrado |

**Subject**: |
Matrix regression of distnce matrices + non negative least square |

**Date**: |
Mon, 7 Sep 2009 13:38:28 +0100 |

**User-agent**: |
KMail/1.11.4 (Linux/2.6.28-13-generic; KDE/4.2.4; x86_64; ; ) |

Dear friends,
I would like to solve the following regression problem:
y=c1 x1 + c2 x2 + .... + cn xn
where the y, xi are all matrices and the ci are constants that need to be
determined. The y, xi are distance matrices (symmetric). Obviously ci should
be forced to positive or null (i.e. non negative).
Any suggestion?
I will be more than happy to share the results of my quest with the list or
developers.
--
Corrado Topi
Global Climate Change & Biodiversity Indicators
Area 18,Department of Biology
University of York, York, YO10 5YW, UK
Phone: + 44 (0) 1904 328645, E-mail: address@hidden

**Matrix regression of distnce matrices + non negative least square**,
*Corrado* **<=**
**Re: Matrix regression of distnce matrices + non negative least square**, *Jaroslav Hajek*, `2009/09/07`
**Re: Matrix regression of distnce matrices + non negative least square**, *Corrado*, `2009/09/07`
**Re: Matrix regression of distnce matrices + non negative least square**, *Jaroslav Hajek*, `2009/09/07`
**Re: Matrix regression of distnce matrices + non negative least square**, *Corrado*, `2009/09/07`
**Re: Matrix regression of distnce matrices + non negative least square**, *Corrado*, `2009/09/10`
**Re: Matrix regression of distnce matrices + non negative least square**, *Jaroslav Hajek*, `2009/09/10`
**Re: Matrix regression of distnce matrices + non negative least square**, *David Bateman*, `2009/09/10`
**Re: Matrix regression of distnce matrices + non negative least square**, *Francesco Potorti`*, `2009/09/11`

**Re: Matrix regression of distance matrices + non negative least square**, *Corrado*, `2009/09/07`