J
Jérôme Pagès
Researcher at Agrocampus Ouest
Publications - 96
Citations - 4878
Jérôme Pagès is an academic researcher from Agrocampus Ouest. The author has contributed to research in topics: Multiple factor analysis & Principal component analysis. The author has an hindex of 34, co-authored 96 publications receiving 4349 citations. Previous affiliations of Jérôme Pagès include Centre national de la recherche scientifique & Entertainments National Service Association.
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Journal ArticleDOI
Multiple factor analysis (AFMULT package)
B. Escofier,Jérôme Pagès +1 more
TL;DR: In this paper, the authors present the different outputs provided by MFA and an example about sensory analysis of wines and compare them with other methods such as factor analysis in which groups of variables are weighted, canonical analysis, Procrustes analysis, STATIS, and INDSCAL.
BookDOI
Exploratory Multivariate Analysis by Example Using R
TL;DR: Principal Component Analysis (PCA) Data - Notation - Examples Objectives Studying Individuals Studying Variables Relationships between the Two Representations NI and NK Interpreting the Data Implementation with FactoMineR Additional Results.
Journal ArticleDOI
Collection and analysis of perceived product inter-distances using multiple factor analysis: Application to the study of 10 white wines from the Loire Valley
TL;DR: In this article, the authors proposed a method to measure the perceived inter-products distance between products by each subject, where each subject is asked to position the products onto a large sheet of paper according to the sensory distances he perceives between the products.
Journal ArticleDOI
Comparison of three sensory methods for use with the Napping® procedure: Case of ten wines from Loire valley
Lucie Perrin,Ronan Symoneaux,Isabelle Maître,Christian Asselin,Frédérique Jourjon,Jérôme Pagès +5 more
TL;DR: This study compared three methods to complete a wine Napping®: a conventional profile, taken as reference, and two simplified profiles (ultra-flash profile, UFP, and free profile, FP).
Journal ArticleDOI
PLS methodology to study relationships between hedonic judgements and product characteristics
TL;DR: This paper depicts a methodology devoted to a situation where a few products are described by many physico-chemical and sensory characteristics, and are evaluated by consumers on a preference scale, and is compared with hierarchical multi-block PLS model.