Multi-block regression based on combinations of orthogonalisation, PLS-regression and canonical correlation analysis

Chemometrics and Intelligent Laboratory Systems

Volumn 124, Issue , 2013, Pages 32-42

  Næs, Tormod ^a,b   Tomic, Oliver ^a   Afseth, Nils Kristian ^a   Segtnan, Vegard ^a   Måge, Ingrid ^a  

^a NOFIMA   (Norway)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Collinearity; Designed experiments; Invariance; Multi block; PLS regression; Regression

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; INTERMETHOD COMPARISON; MULTI BLOCK REGRESSION ANALYSIS; NEAR INFRARED SPECTROSCOPY; NONLINEAR SYSTEM; PARALLEL AND ORTHOGONALISED PARTIAL LEAST SQUARES REGRESSION METHOD; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; RAMAN SPECTROMETRY; REGRESSION ANALYSIS; SCORING SYSTEM; SEQUENTIAL AND ORTHOGONALISED PARTIAL LEAST SQUARES REGRESSION METHOD; VALIDATION PROCESS;

EID: 84876337388     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2013.03.006     Document Type: Article

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