P. Bastien, V. Esposito-vinzi, and M. Tenenhaus, PLS generalized linear regression, Computational Statistics & Data Analysis, vol.48, pp.17-46, 2004.
URL : https://hal.archives-ouvertes.fr/hal-01125210

X. Bry, C. Trottier, T. Verron, and F. Mortier, Supervised component generalized linear regression using a PLS-extension of the Fisher scoring algorithm, Journal of Multivariate Analysis, vol.119, pp.47-60, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00806310

M. Eliot, J. Ferguson, M. P. Reilly, and A. S. Foulkes, Ridge Regression for Longitudinal Biomarker Data, The International Journal of Biostatistics, vol.7, pp.1-11, 2011.

A. Groll and G. Tutz, Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation, Statistics and Computing, vol.24, pp.137-154, 2014.

C. R. Henderson, Best linear unbiaised estimators and prediction under a selection model, Biometrics, vol.31, pp.423-447, 1975.

B. D. Marx, Iteratively reweighted partial least squares estimation for generalized linear regression, Technometrics, vol.38, pp.374-381, 1996.

C. E. Mcculloch and S. Searle, Linear, and Mixed Models, 2001.

F. Mortier, C. Trottier, G. Cornu, and X. Bry, SCGLR -An R Package for Supervised Component Generalized Linear Regression, 2015.

R. Schall, Estimation in generalized linear models with random effects, Biometrika, vol.78, pp.719-727, 1991.

R. Stiratelli, N. Laird, and J. H. Ware, Random-Effects Models for Serial Observations with Binary Response, Biometrics, vol.40, pp.961-971, 1984.