Three case studies illustrating the properties of ordinary and partial least squares regression in different mixture models

Chemometrics and Intelligent Laboratory Systems

Volumn 71, Issue 1, 2004, Pages 33-45

  Dingstad, Gunvor Irene ^a,b   Westad, Frank ^a   Næs, Tormod ^a,c  

^a NORWEGIAN FOOD RESEARCH INSTITUTE   (Norway)

^b NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^c UNIVERSITY OF OSLO   (Norway)

Author keywords

Categorized components; Collinearity; Crossed mixture design; Jackknifing; Mixture design; Mixture of mixtures; Mixture process design; Modified jackknifing; Ordinary least squares regression; Partial least squares regression; Variable selection

Indexed keywords

ANALYTIC METHOD; ARTICLE; DATA ANALYSIS; ELIMINATION REACTION; EXPERIMENTAL DESIGN; FOOD PROCESSING; MATHEMATICAL MODEL; PARSIMONY ANALYSIS; PARTIAL LEAST SQUARES REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROVOCATION; REACTION OPTIMIZATION; REGRESSION ANALYSIS; RESTRICTION MAPPING; TECHNIQUE;

EID: 1642424395     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2003.11.002     Document Type: Article

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