Regularized Generalized Canonical Correlation Analysis and PLS Path Modeling

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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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00869374
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Submitted on : Thursday, October 3, 2013 - 10:22:15 AM
Last modification on : Thursday, March 29, 2018 - 11:06:05 AM
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Arthur Tenenhaus. Regularized Generalized Canonical Correlation Analysis and PLS Path Modeling. SIS 2013 Statistical Conference, Jun 2013, Brescia, Italy. pp.448. ⟨hal-00869374⟩

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