MCCV stacked regression for model combination and fast spectral interval selection in multivariate calibration-Reference-Cited by-同舟云学术

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MCCV stacked regression for model combination and fast spectral interval selection in multivariate calibration

Published:2007-06 Issue:2 Volume:87 Page:226-230
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Xu Lu,Jiang Jian-Hui,Zhou Yan-Ping,Wu Hai-Long,Shen Guo-Li,Yu Ru-Qin

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference18 articles.

1. The multivariate calibration problem in chemistry solved by the PLS method;Wold,1983

2. Partial least-squares method for spectrofluorimetric analysis of mixtures of humic acid and lignin sulfonate

3. Partial least squares solutions for multicomponent analysis

4. Theoretical Justification of Wavelength Selection in PLS Calibration: Development of a New Algorithm

5. The prediction error in CLS and PLS: the importance of feature selection prior to multivariate calibration

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