Thanks juan, I got that, but what I have two matrices A and B,  How can an
svd be performed on the two together.  Is it correct to get the covariance
matrix and then perform the svd on the covariance matrix. If that is the
case I have another doubt.  I understand the covariance of A and B is
t(A)%*%B.  but this differs significantly from cov(A,B).
Thanks
nuncio

2011/4/4 Juan Carlos Borrás <jcborras@gmail.com>

> m <- matrix(c(1:12), nrow=3, ncol=4)
> svd(m)
>
>
>
> On Mon, Apr 4, 2011 at 11:51 AM, nuncio m <nuncio.m@gmail.com> wrote:
> > Dear list,
> >            I searched the libraries but could not find means to compute
> the
> > svd of a coupled field. Is it possible in R
> >
> > Thanks
> > nuncio
> > --
> > Nuncio.M
> > Research Scientist
> > National Center for Antarctic and Ocean research
> > Head land Sada
> > Vasco da Gamma
> > Goa-403804
> >
> >        [[alternative HTML version deleted]]
> >
> > ______________________________________________
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> > PLEASE do read the posting guide
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> > and provide commented, minimal, self-contained, reproducible code.
> >
>
>
>
> --
> Cheers,
> jcb!
> _______________________
> http://twitter.com/jcborras
>



-- 
Nuncio.M
Research Scientist
National Center for Antarctic and Ocean research
Head land Sada
Vasco da Gamma
Goa-403804

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