J. Benzécri, L'analyse des données, Tome II: L'analyse des correspondances. Dunod, 1973.

R. Bro, K. Kjeldahl, A. K. Smilde, and H. A. Kiers, Cross-validation of component models: A critical look at current methods, Analytical and Bioanalytical Chemistry, vol.55, issue.5, pp.1241-1251, 2008.
DOI : 10.1007/s00216-007-1790-1

J. De, L. , and P. Van-der-heijden, Correspondence analysis of incomplete contingency tables, Psychometrika, vol.53, pp.223-233, 1988.

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society B, vol.39, pp.1-38, 1977.

B. Escofier, Traitement des questionnaires avec non réponse, analyse des correspondances avec marges modifiée et analyse multicanonique avec contrainte. Publications de l'institut de statistique de l'université de Paris, pp.33-70, 1987.

Y. Escoufier, Le Traitement des Variables Vectorielles, Biometrics, vol.29, issue.4, pp.751-760, 1973.
DOI : 10.2307/2529140

K. R. Gabriel and S. Zamir, Lower Rank Approximation of Matrices by Least Squares With Any Choice of Weights, Technometrics, vol.43, issue.4, pp.236-246, 1979.
DOI : 10.2307/1267072

A. Gifi, Non-linear Multivariate Analysis, 1981.

M. Greenacre, Theory and Applications of Correspondence Analysis, 1984.

M. Greenacre, Correspondence analysis of multivariate categorical data by weighted least-squares, Biometrika, vol.75, issue.3, pp.457-477, 1988.
DOI : 10.1093/biomet/75.3.457

M. Greenacre and J. Blasius, Multiple Correspondence Analysis and Related Methods, 2006.
DOI : 10.1201/9781420011319

M. Greenacre and R. Pardo, Subset Correspondence Analysis, pp.193-218, 2006.
DOI : 10.1201/9781420011234.ch21

T. Hastie, J. Tibshirani, and . Friedman, The elements of statistical learning. Data Mining, Inference and Prediction, series in statistics, 2001.

A. Hoerl and R. Kennard, Ridge Regression: Biased Estimation for Nonorthogonal Problems, Technometrics, vol.24, issue.1, pp.55-67, 1970.
DOI : 10.2307/1909769

F. Husson and J. Josse, missMDA: Handling missing values with/in multivariate data analysis (principal component methods ), 2010. URL http://www.agrocampus-ouest.fr/math/husson

F. Husson, J. Josse, S. Le, and J. Mazet, FactoMineR: Multivariate Exploratory Data Analysis and Data Mining with R, 2011. URL http

A. Ilin and T. Raiko, Practical approaches to principal component analysis in the presence of missing values, Journal of Machine Learning Research, 2010.

J. Josse, F. Pagès, and . Husson, Testing the significance of the RV coefficient, Computational Statistics & Data Analysis, vol.53, issue.1, pp.82-91, 2008.
DOI : 10.1016/j.csda.2008.06.012

URL : https://hal.archives-ouvertes.fr/hal-00360535

J. Josse, F. Pagès, and . Husson, Gestion des données manquantes en analyse en composantes principales, pp.28-51, 2009.

H. Kiers, Weighted least squares fitting using ordinary least squares algorithms, Psychometrika, vol.18, issue.2, pp.251-266, 1997.
DOI : 10.1007/BF02295279

L. Lebart, K. Morineau, and . Werwick, Multivariate Descriptive Statistical Analysis, 1984.