H. Abdi, Partial least squares regression and projection on latent structure regression (PLS Regression), Wiley Interdisciplinary Reviews: Computational Statistics, vol.15, issue.1, pp.97-106, 2010.
DOI : 10.1002/wics.51

H. Abdi, Partial least square regression (PLS regression) Encyclopedia of Measurement and Statistics. Thousand Oaks (CA): Sage Resource available online in: http://www.utdallas.edu/~herve/Abdi-PLS-pretty.pdf Brémaud, Damien. Bayesian networks to study the factors that impact food supplement compliance. Poster session presented at: Sensometrics, pp.740-744, 2007.

R. Briesch and P. Rajagopal, Neural network applications in consumer behavior, Journal of Consumer Psychology, vol.20, issue.3, pp.381-89, 2010.
DOI : 10.1016/j.jcps.2010.06.001

V. Cariou, S. Verdun, and E. M. Qannari, Quadratic PLS regression applied to external preference mapping, Food Quality and Preference, vol.32, pp.28-34, 2014.
DOI : 10.1016/j.foodqual.2013.07.003

P. Cornillon and E. Matzner-løber, Regression avec R, 2011.
DOI : 10.1007/978-2-8178-0184-1

URL : https://hal.archives-ouvertes.fr/hal-00566949

D. M. Ennis and J. M. Ennis, Mapping Hedonic Data: A Process Perspective, Journal of Sensory Studies, vol.39, issue.1, pp.324-358, 2013.
DOI : 10.1111/joss.12048

R. Krishnamurthy, A. K. Srivastava, J. E. Paton, G. A. Bell, and D. C. Levy, Prediction of consumer liking from trained sensory panel information: Evaluation of neural networks, Food Quality and Preference, vol.18, issue.2, pp.275-85, 2007.
DOI : 10.1016/j.foodqual.2006.01.001

S. Lê, F. Husson, and J. Pagès, Another Look at Sensory Data: How to 'have Your Salmon and Eat It, Food Quality and Preference, vol.17, issue.78, 2006.

S. Lê and T. Worch, Analyzing Sensory Data with R. Chapman & Hall/CRC the R Series, Boca Raton, 2015.

V. Lengard and M. Kermit, 3-Way and 3-block PLS regressions in consumer preference analysis, Food Quality and Preference, vol.17, issue.3-4, pp.4-234, 2006.
DOI : 10.1016/j.foodqual.2005.05.005

D. Mackay, Chemometrics, econometrics, psychometrics???How best to handle hedonics?, Food Quality and Preference, vol.17, issue.7-8, pp.529-564, 2006.
DOI : 10.1016/j.foodqual.2005.09.003

D. B. Mackay, Probabilistic unfolding models for sensory data, Food Quality and Preference, vol.12, issue.5-7, pp.5-7, 2001.
DOI : 10.1016/S0950-3293(01)00033-7

E. Menichelli, M. Hersleth, T. Almøy, and T. Naes, Alternative methods for combining information about products, consumers and consumers??? acceptance based on path modelling, Food Quality and Preference, vol.31, pp.142-55, 2014.
DOI : 10.1016/j.foodqual.2013.08.011

J. Meullenet, C. Lovely, R. Threlfall, J. R. Morris, and R. K. Striegler, An ideal point density plot method for determining an optimal sensory profile for Muscadine grape juice, Food Quality and Preference, vol.19, issue.2, pp.210-229, 2008.
DOI : 10.1016/j.foodqual.2007.06.011

D. Plaehn and D. S. Lundahl, An L-PLS preference cluster analysis on French consumer hedonics to fresh tomatoes, Food Quality and Preference, vol.17, issue.3-4, pp.4-243, 2006.
DOI : 10.1016/j.foodqual.2005.06.005

B. Rousseau, Unfolding Liking using Landscape Segmentation Analysis® and Internal Preference Mapping, IFPress, vol.12, issue.4, pp.2-3, 2009.

B. Rousseau, D. M. Ennis, and F. Rossi, Internal preference mapping and the issue of satiety, Food Quality and Preference, vol.24, issue.1, pp.67-74, 2012.
DOI : 10.1016/j.foodqual.2011.09.003

M. Tenenhaus, J. Pagès, L. Ambroisine, and C. Guinot, PLS methodology to study relationships between hedonic judgements and product characteristics, Food Quality and Preference, vol.16, issue.4, pp.315-340, 2005.
DOI : 10.1016/j.foodqual.2004.05.013

R. Tibshirani, Regression shrinkage and selection via the lasso, J. Royal. Statist. Soc B, vol.58, issue.1, pp.267-288, 1996.
DOI : 10.1111/j.1467-9868.2011.00771.x

J. Tubbs, G. Oupadissakoon, Y. S. Lee, and J. Meullenet, Performance and representation of Euclidian Distance Ideal Point Mapping (EDIPM) using a third dimension, Food Quality and Preference, vol.21, issue.3, pp.278-85, 2010.
DOI : 10.1016/j.foodqual.2009.08.008

. Van-kleef, H. C. Ellen, P. Van-trijp, and . Luning, Internal versus external preference analysis: An exploratory study on end-user evaluation, Food Quality and Preference, vol.17, issue.5, pp.387-99, 2006.
DOI : 10.1016/j.foodqual.2005.05.001

K. Varmuza and P. Filzmoser, Introduction to Multivariate Statistical Analysis in Chemometrics, Boca Raton, 2009.
DOI : 10.1201/9781420059496

S. Wold, M. Sjöström, and L. Eriksson, PLS-regression: a basic tool of chemometrics, Chemometrics and Intelligent Laboratory Systems, vol.58, issue.2, pp.109-139, 2001.
DOI : 10.1016/S0169-7439(01)00155-1

T. Worch, PrefMFA, a solution taking the best of both internal and external preference mapping techniques, Food Quality and Preference, vol.30, issue.2, pp.180-91, 2013.
DOI : 10.1016/j.foodqual.2013.05.009

T. Worch, S. Lê, P. Punter, and J. Pagès, Construction of an Ideal Map (IdMap) based on the ideal profiles obtained directly from consumers, Food Quality and Preference, vol.26, issue.1, pp.93-104, 2012.
DOI : 10.1016/j.foodqual.2012.04.003

URL : https://hal.archives-ouvertes.fr/hal-00840990

. Organisme, Nestlé Adresse : Nestlé Product Technology Center Orbe 1350 Orbe -Suisse Maître de stage : Myriam GENSBITTEL Nb pages, p.57