FN Archimer Export Format
PT J
TI Multiblock modeling for complex preference study. Application to European preferences for smoked salmon
BT 
AF BOUGEARD, Stephanie
   CARDINAL, Mireille
AS 1:1;2:2;
FF 1:;2:PDG-RBE-BRM-STBM;
C1 Anses French Agcy Food Environm & Occupat Hlth Sa, Dept Epidemiol, F-22440 Ploufragan, France.
   IFREMER, Lab Sci & Technol Biomasse Marine, F-44311 Nantes 03, France.
C2 ANSES, FRANCE
   IFREMER, FRANCE
SI NANTES
SE PDG-RBE-BRM-STBM
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 2.779
TC 4
UR https://archimer.ifremer.fr/doc/00171/28251/26626.pdf
LA English
DT Article
DE ;Multiblock modeling;Multiblock redundancy analysis;External preference mapping;Smoked salmon
AB The aim of the paper is to propose an alternative method to external preference mapping for the case of complex data where explanatory variables are organized in meaningful blocks. We propose an innovative method in the multiblock modeling framework, called multiblock Redundancy Analysis. The interest and relevance of this method is illustrated on the basis of a European consumer preference study for cold-smoked salmon. The study aims at explaining six homogeneous clusters of preference with explanatory parameters organized in five thematic blocks related to physico-chemical measurements, microbiological characterization, appearance attributes, odor/flavor characterization and texture descriptors. Overall indexes and graphical displays associated with different interpretation levels are proposed to sort the key drivers of preference by order of priority at the variables and at the block level. On the basis of these data, multiblock Redundancy Analysis is also compared to standard preference mapping in terms of model quality; the best model is here associated with the multiblock method.
PY 2014
PD MAR
SO Food Quality And Preference
SN 0950-3293
PU Elsevier Sci Ltd
VL 32
IS Part A
UT 000328597500009
BP 56
EP 64
DI 10.1016/j.foodqual.2013.06.002
ID 28251
ER

EF