H. Caussinus, Models and uses of principal component analysis (with discussion), 1986.

F. Chateau and L. Lebart, Assessing Sample Variability in the Visualization Techniques Related to Principal Component Analysis: Bootstrap and Alternative Simulation Methods, pp.205-210, 1996.
DOI : 10.1007/978-3-642-46992-3_21

J. B. Denis, Ajustements de modèles linéaires et bilinéaires sous contraintes linéaires avec données manquantes, pp.5-24, 1991.

B. Efron, Missing Data, Imputation, and the Bootstrap, Journal of the American Statistical Association, vol.82, issue.426, pp.463-475, 1994.
DOI : 10.2307/2290005

J. Josse, J. Pagès, and F. Husson, Gestion des données manquantes en Analyse en Composantes Principales, Journal de la Société Française de Statistique, pp.28-51, 2009.

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

R. J. Little and D. B. Rubin, Statistical analysis with missing data, 2002.
DOI : 10.1002/9781119013563

M. E. Timmerman, H. A. Kiers, and A. K. Smilde, Estimating confidence intervals for principal component loadings: A comparison between the bootstrap and asymptotic results, British Journal of Mathematical and Statistical Psychology, vol.28, issue.2, pp.295-314, 2007.
DOI : 10.1348/000711006X109636

M. Tipping and C. M. Bishop, Probabilistic Principal Component Analysis, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.61, issue.3, pp.61-611, 1999.
DOI : 10.1111/1467-9868.00196