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

Roberto Kawakami Harrop Galvao, Mario Cesar Ugulino Araujo, Edvan Cirino Silva, Gledson Emidio Jose, Sofacles Figueredo Carreiro Soares, Henrique Mohallem Paiva

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50 Citations (Scopus)


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 to kawakami/spa/.

Original languageEnglish
Pages (from-to)1580-1584
Number of pages5
JournalJournal of the Brazilian Chemical Society
Issue number8
Early online date23 May 2006
Publication statusPublished - 2007


  • multiple linear regression
  • variable selection
  • successive projections algorithm
  • cross-validation
  • near-infrared spectrometry
  • multivariate calibration

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