E. Vinzi, V. Trinchera, L. Amato, and S. , PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement, Handbook of Partial Least Squares (PLS): Concepts, Methods and Applications, 2010.
DOI : 10.1007/978-3-540-32827-8_3

N. Krämer, Analysis of high-dimensional data with partial least squares and boosting, 2007.

J. Kruskal, Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis, Psychometrika, vol.5, issue.1, pp.1-27, 1964.
DOI : 10.1007/BF02289565

J. De-leeuw, F. Young, and Y. Takane, Additive structure in qualitative data: An alternating least squares method with optimal scaling features, Psychometrika, vol.41, issue.4, pp.471-503, 1976.
DOI : 10.1007/BF02296971

G. Russolillo, PLS methods for Non-Metric data, Italy, 2009.

M. Tenenhaus and M. Tenenhaus, A criterion based PLS approach to structural equation modelling, 6th International Conference on Partial Least Squares Methods, 2009.

M. Tenenhaus, E. Vinzi, V. Chatelin, Y. M. Lauro, and C. , PLS path modeling, PLS path modeling, pp.159-205, 2005.
DOI : 10.1016/j.csda.2004.03.005
URL : https://hal.archives-ouvertes.fr/hal-00869374

H. Wold, Estimation of principal component and related models by iterative least squares, Multivariate Analysis, pp.391-420, 1966.

H. Wold, Path models with latent variables: The non-linear iterative partial least squares (NIPALS) approach, Quantitative Sociology: Intentional Perspective on Mathematical and Statistical Modeling, pp.307-357, 1975.

S. Wold, H. Martens, and H. Wold, The multivariate calibration method in chemistry solved by the PLS method, Proc. Conf. Matrix Pencils. Lecture Notes in, pp.286-293, 1983.

F. Young, Methods for describing ordinal data with cardinal models, Journal of Mathematical Psychology, vol.12, issue.4, pp.416-436, 1975.
DOI : 10.1016/0022-2496(75)90002-4

F. Young, Quantitative analysis of qualitative data, Psychometrika, vol.46, issue.4, pp.357-388, 1981.
DOI : 10.1007/BF02293796