Industrial PLS model variable selection using moving window variable importance in projection

Chemometrics and Intelligent Laboratory Systems

Volumn 135, Issue , 2014, Pages 90-109

  Lu, Bo ^a   Castillo, Ivan ^b   Chiang, Leo ^b   Edgar, Thomas F ^a  

^a The University of Texas at Austin   (United States)

^b DOW CHEMICAL COMPANY   (United States)

Author keywords

Inferential sensors; Model reduction; Multivariate statistics; Partial least squares; PLS regression; Process monitoring; Soft sensors; Variable selection

Indexed keywords

ALGORITHM; ARTICLE; BIOINFORMATICS; CHEMICAL INDUSTRY; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; QUALITY CONTROL; SENSOR; SPECTROSCOPY; STATISTICAL ANALYSIS;

EID: 84899518485     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2014.03.020     Document Type: Article

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