A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm-Reference-Cited by-同舟云学术

A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm

Published:2008-05 Issue:1 Volume:92 Page:83-91
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Galvão Roberto Kawakami Harrop,Araújo Mário César Ugulino,Fragoso Wallace Duarte,Silva Edvan Cirino,José Gledson Emidio,Soares Sófacles Figueredo Carreiro,Paiva Henrique Mohallem

Publisher

Elsevier BV

Subject

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

Reference17 articles.

1. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis

2. Simultaneous spectrometric determination of Cu2+, Mn2+ and Zn2+ in polivitaminic/polimineral drug using SPA and GA algorithms for variable selection

3. Aspects of the successive projections algorithm for variable selection in multivariate calibration applied to plasma emission spectrometry

4. Robust modeling for multivariate calibration transfer by the successive projections algorithm

5. Determination of total sulfur in diesel fuel employing NIR spectroscopy and multivariate calibration

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