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
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. ,
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
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
Regression avec R, 2011. ,
DOI : 10.1007/978-2-8178-0184-1
URL : https://hal.archives-ouvertes.fr/hal-00566949
Mapping Hedonic Data: A Process Perspective, Journal of Sensory Studies, vol.39, issue.1, pp.324-358, 2013. ,
DOI : 10.1111/joss.12048
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
Another Look at Sensory Data: How to 'have Your Salmon and Eat It, Food Quality and Preference, vol.17, issue.78, 2006. ,
Analyzing Sensory Data with R. Chapman & Hall/CRC the R Series, Boca Raton, 2015. ,
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
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
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
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
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
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
Unfolding Liking using Landscape Segmentation Analysis® and Internal Preference Mapping, IFPress, vol.12, issue.4, pp.2-3, 2009. ,
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
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
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
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
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
Introduction to Multivariate Statistical Analysis in Chemometrics, Boca Raton, 2009. ,
DOI : 10.1201/9781420059496
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
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
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
Nestlé Adresse : Nestlé Product Technology Center Orbe 1350 Orbe -Suisse Maître de stage : Myriam GENSBITTEL Nb pages, p.57 ,