Cross-validation for the selection of spectral variables using the successive projections algorithm

Journal of the Brazilian Chemical Society

Roberto Kawakami Harrop Galvão²  Mário César Ugulino Araújo¹  Edvan Cirino Silva¹  Gledson Emidio José¹  Sófacles Figueredo Carreiro Soares¹  Henrique Mohallem Paiva¹ 

[1] ,Instituto Tecnológico de Aeronáutica Divisão de Engenharia Eletrônica São José dos Campos SP ,Brazil

关键词: multiple linear regression;    variable selection;    successive projections algorithm;    cross-validation;    near-infrared spectrometry;   

DOI  :  10.1590/S0103-50532007000800021

来源: SciELO

【 摘 要 】

This work compares the use of a separate validation set and leave-one-out cross-validation to guide the selection of variables in the Successive Projections Algorithm (SPA) for multivariate calibration. Two case studies involving diesel and corn analysis by NIR spectrometry are presented. A graphical interface for SPA is available at www.ele.ita.br/~kawakami/spa/

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License