S. Amato, V. Esposito-vinzi, and M. Tenenhaus, A global goodness-of-fit index for PLS structural equation modeling, HEC School of Managment, 2005.

K. A. Bollen, Structural Equations with Latent Variables, 1989.
DOI : 10.1002/9781118619179

E. Edgington, Randomization Test, 1987.

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 " Partial Least Squares: Concepts, Methods and Applications, pp.47-82, 2010.
DOI : 10.1007/978-3-540-32827-8_3

E. Vinzi, V. Trinchera, L. Squillacciotti, S. Tenenhaus, and M. , REBUS-PLS: A response-based procedure for detecting unit segments in PLS path modelling, Applied Stochastic Models in Business and Industry, vol.54, issue.5, pp.439-458, 2008.
DOI : 10.1002/asmb.728

C. Hahn, M. Johnson, A. Herrmann, and F. Huber, Capturing customer heterogeneity using a finite mixture PLS approach, Schmalenbach Bus. Rev, vol.54, pp.243-269, 2002.

D. Kaplan, Structural Equation Modeling, 2000.
DOI : 10.1016/B0-08-043076-7/00776-2

M. Tenenhaus, V. Esposito-vinzi, Y. M. Chatelin, and C. Lauro, PLS path modeling, Computational Statistics & Data Analysis, vol.48, issue.1, pp.159-205, 2005.
DOI : 10.1016/j.csda.2004.03.005
URL : https://hal.archives-ouvertes.fr/hal-00869374

L. Trinchera, Unobserved heterogeneity in structural equation models: a new approach in latent class detection in PLS path modeling, 2007.

H. Wold, Modelling in complex situations with soft information, 1975.