Sensory Data Analysis by linear and non-linear Boosted PLS regressions

摘要：

Apart from a few studies, there has been little new world research in wine evaluation that has ventured sensory-chemical related studies. In this paper we discuss linear and non-linear generalizations of Partial Least Squares Regression model via ANOVA type decompositions, as suitable techniques to study wine evaluation by modeling dependence among hedonic judgments, sensory characteristics, chemical-physical variables.

关键词： sensory analysis chemical-physical variables interactions in linear and non-linear PLS

作者: Rosaria Lombardo

作者单位: Second University of Naples, Capua 81043, Italy

会议类型: 国际会议

会议名称: The 6th International Conference on Partial Least Squares and Related Methods(第六届偏最小二乘及相关方法国际会议)

会议地点: 北京

会议语种:英文

页码: 259-263

在线出版日期: 2009-09-04（万方平台首次上网日期，不代表论文的发表时间）