Events and Meetings of Italian Statistical Society, Advances in Latent Variables - Methods, Models and Applications

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Regularized Generalized Canonical Correlation Analysis and PLS Path Modeling
Arthur Tenenhaus

Last modified: 2013-06-16

Abstract


Regularized Generalized Canonical Correlation Analysis (RGCCA) and Partial Least Squares Path Modeling (PLSPM) have been proposed for studying relationships between J sets of variables observed on the same set of individual staking into account a graph of connection between blocks. The main goal of this communication, is to compare the various options of PLS-PM and RGCCA. Actually, first comparisons show very close behavior of these two approaches.

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