Workshop on PLS methods for Sensory Analysis

[Vincenzo Esposito Vinzi <vincenzo.espositovinzi@unina.it>]

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Workshop on PLS methods for Sensory Analysis

European Conference on Sensory Science of Food and Beverages
September 28th, 2004 (14:30-18:00)
Florence (Italy)

For information:
http://www.scienzesensoriali.it/

Organisers:
Vincenzo Esposito Vinzi (University of Naples “Federico II”, Italy)
Michel Tenenhaus (HEC School of Management, France)
 
Background and Objectives:
PLS (Partial Least Squares) Regression is a statistical modeling
technique with data analysis features linking a block of response
variables to a block of explanatory variables. This method is feasible
even in critical situations often encountered in real practice when, for
instance, there are missing data or too few observations or too many
variables or a too strong correlation between the explanatory variables.
But PLS regression is only one of the methods within the more general PLS
framework. PLS regression may be actually meant as a specific case of the
PLS approach to structural equation modeling when only two blocks of
variables are available. This general approach studies a system of linear
relationships between latent (non observable) variables. Each latent
variable is described by a set of manifest (observable) indicators. The
nature of this approach is rather exploratory and data-driven than
confirmatory. It is usually referred to as a “soft” modeling approach as
no normality hypothesis is required, there is no constraint on the
measurement scale of the manifest indicators and the number of
observations may be limited with respect to the number of variables. The
features of PLS-based methods make them very interesting for applications
and developments in sensory data analysis.
 
The Workshop aims at providing the audience with:
-         an expository review of
PLS in sensory data analysis;
-         a presentation and a
critical assessment of the most recent developments;
-         fresh ideas on the PLS
theory and methodology for sensory analysis;
-         an estimation of the
future directions of research in the field.
 
Programme:
PLS and Generalized Procrustes Rotations for Wine Sensory 
Evaluation
V. Esposito Vinzi(a,b) and M. Tenenhaus(b)
(a) DMS, University of Naples " Federico II ", Italy, (b) SIAD,
HEC School of Management, Paris ­ France
 
Scatter plot and additional variables
F. Husson and J. Pagès (ENSA, Rennes - France)
 
Interpreting more or less disjoint data matrices by L-PLS Regression and
PLS Regression networks
H. Martens, F. Westad, E. Anderssen and S. Omholt (Matforsk/NTNU/CIGENE,
Norway)
 
Applicaton of Ridge-PLS discrimination to the analysis of sensory
profiling data
E.M. Qannari (ENITIAA-INRA, Nantes ­ France)

A strategy for the comparison of PLS path models in the study of consumer
preferences with double external information
S. Squillacciotti(a,b), S. Amato(b), C. Guinot(a), V. Esposito
Vinzi(b)
(a) CERIES, Neuilly-sur-Seine - France, (b) DMS, University of Naples
“Federico II” - Italy

Assessing the validity of consumer segmentation in preference mapping by
use of PCA and PLS regression
F. Westad (Norwegian Food Research Institute, Ås, Norway)

XLSTAT : the fast and easy solution for Sensory Data Analysis
T. Fahmy (Addinsoft, Paris, France)