Validation procedures in near-infrared s
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M. Forina; G. Drava; R. Boggia; S. Lanteri; P. Conti
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Article
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1994
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Elsevier Science
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English
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Three validation procedures, single evaluation set, cross-validation and repeated evaluation set, were tested on near-infrared spectrometric data to evaluate the predictive residual standard deviation and the complexity of the regression model based on partial least-squares (PLS) regression. Thirty-