Re: PLS1-PLS2-PCAVI-MLR : comment choisir ? (fwd)

From: Agustin Lobo (alobo@ija.csic.es)
Date: Fri Jan 22 1999 - 18:15:59 MET


Merci!
On devrait y ajouter cette explanation to the "fiche".

Et en plus on a Canonical Correlation, in which both X and Y are transformed
into X.can Y.can to maximize correlation between pairs of variables.
Where would this method fit in your scheme?

Also, should not prediction done through CaCorr
work better than PLS2 as Cancorr transforms both sets?

Agus

Dr. Agustin Lobo
Instituto de Ciencias de la Tierra (CSIC)
Lluis Sole Sabaris s/n
08028 Barcelona SPAIN
tel 34 93409 5410
fax 34 93411 0012
alobo@ija.csic.es
http://pangea.ija.csic.es/alobo



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