Detection of Near-Nulticollinearity through Centered and Noncentered Regression

Detection of Near-Nulticollinearity through Centered and Noncentered Regression

This paper analyzes the diagnostic of near-multicollinearity in a multiple linear regression from auxiliary centered (with intercept) and noncentered (without intercept) regressions. From these auxiliary regressions, the centered and noncentered variance inflation factors (VIFs) are calculated. An e...

Полное описание

Библиографические подробности
Главные авторы: Salmerón Gómez, Román, García García, Catalina Beatriz, García Pérez, José
Формат: info:eu-repo/semantics/article
Язык:English
Опубликовано: MDPI 2020
Предметы:
centered model
noncentered model
intercept
essential multicollinearit
nonessential multicollinearity
Online-ссылка:http://hdl.handle.net/10835/8293

Internet

http://hdl.handle.net/10835/8293

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