Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

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

Harrop Galvao, Roberto Kawakami and Ugulino Araujo, Mario Cesar and Fragoso, Wallace Duarte and Silva, Edvan Cirino and Jose, Gledson Emidio and Carreiro Soares, Sofacles Figueredo and Paiva, Henrique Mohallem (2008) A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm. Chemometrics and intelligent laboratory systems, 92 (1). pp. 83-91. ISSN 0169-7439

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

The successive projections algorithm (SPA) is a variable selection technique designed to minimize collinearity problems in multiple linear regression (MLR). This paper proposes a modification to the basic SPA formulation aimed at further improving the parsimony of the resulting MLR model. For this purpose, an elimination procedure is incorporated to the algorithm in order to remove variables that do not effectively contribute towards the prediction ability of the model as indicated by an F-test. The utility of the proposed modification is illustrated in a simulation study, as well as in two application examples involving the analysis of diesel and com samples by near-infrared (NIR) spectroscopy. The results demonstrate that the number of variables selected by SPA can be reduced without significantly compromising prediction performance. In addition, SPA is favourably compared with classic Stepwise Regression and full-spectrum PLS. A graphical user interface for SPA is available at www.ele.ita.br/similar to kawakami/spa/. (C) 2008 Elsevier B.V. All rights reserved.

Item type: Article
ID code: 36568
Keywords: multiple linear regression, variable selection, successive projections algorithm, near-infrared spectrometry, diesel analysis, com analysis, multivariate calibration, selection, prediction, Chemical engineering, Spectroscopy, Analytical Chemistry, Software, Process Chemistry and Technology, Computer Science Applications
Subjects: Technology > Chemical engineering
Department: Faculty of Engineering > Chemical and Process Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 05 Jan 2012 19:15
    Last modified: 05 Sep 2014 14:29
    URI: http://strathprints.strath.ac.uk/id/eprint/36568

    Actions (login required)

    View Item