I am sorry, there is just a mistake : the solution cannot be unique (because it 
is a vectorial space) (but then I might normalize it)
 
can R find one anyway ?
 
This is equivalent to finding an eigenvector in fact> From: [EMAIL PROTECTED]> 
To: r-help@stat.math.ethz.ch> Date: Wed, 27 Jun 2007 22:51:41 +0000> Subject: 
[R] Gaussian elimination - singular matrix> > > Hello,> > I hope it is not a 
too stupid question.> > I have a singular matrix A (so not invertible).> > I 
want to find a nontrivial nonnegative solution to AX=0 (kernel of A)> > It is a 
special matrix A (so maybe this nonnegative solution is unique)> > The authors 
of the article suggest a Gaussian elimination method> > Do you know if R can do 
that automatically ? I have seen that "solve" has an option "LAPACK" but it 
does not seem to work with me :(> > Thank you very much> 
_________________________________________________________________> Le blog 
Messenger de Michel, candidat de la Nouvelle Star : analyse, news, coulisses… A 
découvrir !> > [[alternative HTML version deleted]]> 
_________________________________________________________________
Le blog Messenger de Michel, candidat de la Nouvelle Star : analyse, news, 
coulisses… A découvrir !

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