Idescat. SORT. New insights into evaluation of regression models through a decomposition of the prediction errors: application to near-infrared spectral data. Volume 37 (1)

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Date: 2013-06-12 05:48:47 Multicollinearity Partial least squares regression Coefficient of determination Chemometrics Variance inflation factor Principal component analysis Least squares Bootstrapping Statistics Regression analysis Linear regression		Idescat. SORT. New insights into evaluation of regression models through a decomposition of the prediction errors: application to near-infrared spectral data. Volume 37 (1) Add to Reading List Source URL: www.idescat.cat Download Document from Source Website File Size: 3,51 MB Share Document on Facebook

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