3-Way and 3-block PLS regressions in consumer preference analysis

被引:22
作者
Lengard, V [1 ]
Kermit, M [1 ]
机构
[1] CAMO Proc AS, Unscrambler, N-0158 Oslo, Norway
关键词
consumer preference; 3-way PLS regression; 3-block PLS regression; L-PLS regression; sensory drivers of liking;
D O I
10.1016/j.foodqual.2005.05.005
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
PLS regression modelling using 3-way or 3-block data is sometimes misleadingly regarded as a single method. This paper illuminates the structural differences of 3-way data compared to 3-block data applied to sensory analysis. The data used to illustrate these two powerful methods is a set of 17 tomato varieties with information acquired from chemical measurements, sensory panel evaluations and consumer likings, attitudes and demographics. A 3-way PLS regression model is used to identify positive and negative drivers of consumer likings and simultaneously evaluate the performance of individual sensory panelists. From the 3-block PLS regression model, also called L-PLS model, the tomato varieties are described using chemical information and sensory attributes. Also extracted from the L-PLS model is background information on the consumers who expressed their preferences for the different tomato types. (C) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:234 / 242
页数:9
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