Jombart, Thibaut imperial.ac.uk> writes:
>
> Dear Francisco,
>
> CCA and PCA are quite different methods. CCA regresses your 'response' data
onto a set of explanatory
> variables. This needs to invert the matrix of covariances of the predictors,
which is only possible if
> n>p, where n is the
rg] On Behalf Of
Francisco Javier Santos Alamillos [fsan...@ujaen.es]
Sent: 23 November 2009 21:43
To: r-help@r-project.org
Subject: [R] Doubt about CCA and PCA
Dear R community,
I'm working with PCA and CCA methods, and I have a theoretical question.
Why is it necesary to have more te
Dear R community,
I'm working with PCA and CCA methods, and I have a theoretical question.
Why is it necesary to have more temporal values than variables when the CCA
O PCA are going to be used?
Could you advise to me some any paper about it?
Thanks in advance,
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