U. Bibliographie-alon, N. Barkai, D. A. Notterman, K. Gish, S. Ybarra et al., Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissue probed by oligonucleotide arrays, Proc. Natl. Acad. Sci. USA, pp.6745-6750, 1999.

P. Bastien, V. Esposito-vinzi, and M. Tenenhaus, PLS generalised linear regression, Computational Statistics & Data Analysis, vol.48, issue.1, pp.17-46, 2005.
DOI : 10.1016/j.csda.2004.02.005

URL : https://hal.archives-ouvertes.fr/hal-01125098

A. Canty and B. Ripley, boot: Bootstrap R (S-Plus) Functions. R package version 1, pp.2-37, 2009.

A. C. Davison and D. V. Hinkley, Bootstrap methods and their application, 1997.
DOI : 10.1017/CBO9780511802843

B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap, 1993.
DOI : 10.1007/978-1-4899-4541-9

A. Höskuldsson, PLS regression methods, Journal of Chemometrics, vol.8, issue.3, pp.211-228, 1988.
DOI : 10.1002/cem.1180020306

N. Kettaneh-wold, Analysis of mixture data with partial least squares, Chemometrics and Intelligent Laboratory Systems, vol.14, issue.1-3, pp.57-69, 1992.
DOI : 10.1016/0169-7439(92)80092-I

A. Lazraq, R. Cléroux, and J. Gauchi, Selecting both latent and explanatory variables in the PLS1 regression model, Chemometrics and Intelligent Laboratory Systems, vol.66, issue.2, pp.117-126, 2003.
DOI : 10.1016/S0169-7439(03)00027-3

N. Meyer, M. Maumy-bertrand, and F. Bertrand, Comparaison de variantes de régressions logistiques PLS et de régression PLS sur variables qualitatives : application aux données d'allélotypage, 2009.

R. Development and C. Team, A language and environment for statistical computing Vienna: R Foundation for Statistical Computing, 2008.

S. Wold, M. Sjöström, and L. Eriksson, PLS-regression: a basic tool of chemometrics, Chemometrics and Intelligent Laboratory Systems, vol.58, issue.2, pp.109-130, 2001.
DOI : 10.1016/S0169-7439(01)00155-1