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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)
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Document Date: 2013-06-12 05:48:47

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City

Shelton / /

Company

Perkin Elmer LLC / SPSS / /

Country

Germany / United States / Syria / Spain / /

Currency

pence / /

/

Facility

University of Sevilla / University of C´ordoba / /

IndustryTerm

olive oil / chemical components / oil sample / diffuse reflecting stainless steel surface / gas chromatography / olive oil compounds / vegetable oil / statistical software / food chemistry / oil / olive oil sample / chemicals / chemical bonds / energy / /

OperatingSystem

Xp / /

Organization

NMR Service / University of Sevilla / Organic Chemistry Department / Department of Statistics / Central Service of Analyses / Institut d’Estad´ıstica de Catalunya Transactions sort@idescat.cat New / Agronomy Department / University of C´ordoba / /

Person

Morris / Jose Ma / Francisco Jos / Negrete de la Fuente / Marie Curie-Anexo / Martin / /

Position

author / Workman / Fisher / /

ProgrammingLanguage

R / /

Technology

radiation / s/n / spectroscopy / gas chromatography / /

URL

www.idescat.cat/sort / /

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