Variable and subset selection in PLS regression

Chemometrics and Intelligent Laboratory Systems

Volumn 55, Issue 1-2, 2001, Pages 23-38

  Höskuldsson, Agnar ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

H principle; Orthogonal scatter correction (OSC); Partial Least Squares (PLS); Principal Component Analysis (PCA); Stepwise regression; Variable selection

Indexed keywords

ARTICLE; CHEMOMETRICS; COMPUTER PROGRAM; MODEL; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REGRESSION ANALYSIS; TECHNIQUE;

EID: 0035852404     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(00)00113-1     Document Type: Article

References (8)

1. Interval Partial Least Squares Regression (iPLS): a comparative chemometric study with an example from near-infrared spectrocopy
2. Orthogonal signal correction of near-infrared spectra
3. An evaluation of orthogonal signal correction applied to calibration transfer of near infrared spectra
4. Direct orthogonalization
5. On orthogonal signal correction
6. On solving generalised eigen value problem using MATLAB
7. Selection of variables in multiple regression