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The ade4 Package - NexTag Supports Open Source Initiatives

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196 pcaivortho<br />

fa<br />

l1<br />

co<br />

cor<br />

a data frame with the loadings (Constraint Principal Components as linear combinations<br />

of X<br />

data frame with the Constraint Principal Components (CPC)<br />

a data frame with the inner products between the CPC and Y<br />

a data frame with the correlations between the CPC and X<br />

Author(s)<br />

Daniel Chessel<br />

Anne B Dufour 〈dufour@biomserv.univ-lyon1.fr〉<br />

References<br />

Rao, C. R. (1964) <strong>The</strong> use and interpretation of principal component analysis in applied research.<br />

Sankhya, A 26, 329–359.<br />

Obadia, J. (1978) L’analyse en composantes explicatives. Revue de Statistique Appliquée, 24, 5–28.<br />

Lebreton, J. D., Sabatier, R., Banco G. and Bacou A. M. (1991) Principal component and correspondence<br />

analyses with respect to instrumental variables : an overview of their role in studies of<br />

structure-activity and species- environment relationships. In J. Devillers and W. Karcher, editors.<br />

Applied Multivariate Analysis in SAR and Environmental Studies, Kluwer Academic Publishers,<br />

85–114.<br />

Examples<br />

data(rhone)<br />

pca1

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