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multiColl: Collinearity Detection in a Multiple Linear Regression Model

dc.contributor.authorSalmerón Gómez, Román 
dc.contributor.authorGarcía García, Catalina 
dc.date.accessioned2024-01-30T09:36:03Z
dc.date.available2024-01-30T09:36:03Z
dc.date.issued2022-07-21
dc.identifier.citationSalmerón, R., García, C.B. and García, J. (2022). multiColl: Collinearity Detection in a Multiple Linear Regression Model. R package version 2.0, url: https://CRAN.R-project.org/package=multiColl.es_ES
dc.identifier.otherhttps://CRAN.R-project.org/package=multiColl
dc.identifier.otherhttps://cran.r-project.org/web/packages/multiColl/multiColl.pdf
dc.identifier.urihttps://hdl.handle.net/10481/87566
dc.description.abstractThe detection of worrying approximate collinearity in a multiple linear regression model is a problem addressed in all existing statistical packages. However, we have detected deficits regarding to the incorrect treatment of qualitative independent variables and the role of the intercept of the model. The objective of this package is to correct these deficits. In this package will be available detection and treatment techniques traditionally used as the recently developed.es_ES
dc.language.isoenges_ES
dc.publisherThe Comprehensive R Archive Network (CRAN)es_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMulticolinealidades_ES
dc.subjectdetecciónes_ES
dc.titlemultiColl: Collinearity Detection in a Multiple Linear Regression Modeles_ES
dc.typeotheres_ES
dc.rights.accessRightsopen accesses_ES
dc.type.hasVersionVoRes_ES


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Ayuda del paquete "multiColl" de R

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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