Robust methods for partial least squares regression

Journal of Chemometrics

Volumn 17, Issue 10, 2003, Pages 537-549

  Hubert, M ^a   Branden, K Vanden ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Partial least squares regression; Principal component analysis; Robust regression; SIMPLS

Indexed keywords

CLUSTERING ALGORITHMS; COVARIANCE MATRIX; LEAST SQUARES APPROXIMATIONS; REGRESSION ANALYSIS;

CROSS-COVARIANCE MATRIX; HIGH-DIMENSIONAL; HIGHER-DIMENSIONAL; LEAST-SQUARE REGRESSION ALGORITHMS; LINEAR REGRESSION TECHNIQUES; PARTIAL LEAST SQUARE REGRESSION; PRINCIPAL-COMPONENT ANALYSIS; ROBUST METHODS; ROBUST REGRESSIONS; SIMPLS;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ANALYTIC METHOD; ARTICLE; CALIBRATION; CHEMOMETRICS; CLASSIFICATION; COVARIANCE; DATA ANALYSIS; DOUGH; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; NONHUMAN; OBSERVATION; PARTIAL LEAST SQUARES REGRESSION; PRINCIPAL COMPONENT ANALYSIS; PRODUCTIVITY; RSIMCD METHOD; RSIMPLS METHOD; SIMPLS ALGORITHM; SIMULATION; VALIDATION PROCESS; VELOCITY;

EID: 0344982260     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/cem.822     Document Type: Article

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