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  "Title": "Collinearity Detection using Redefined Variance Inflation Factor\nand Graphical Methods",
  "Version": "3.2",
  "Date": "2025-10-06",
  "Authors@R": "c(person(\"R.\", \"Salmerón\", role = c(\"aut\", \"cre\"), email = \"romansg@ugr.es\"),\nperson(\"C.B.\", \"García\", role = \"aut\"))",
  "Author": "R. Salmerón [aut, cre], C.B. García [aut]",
  "Maintainer": "R. Salmerón <romansg@ugr.es>",
  "Description": "The detection of troubling approximate collinearity in a\nmultiple linear regression model is a classical problem in\nEconometrics. This package is focused on determining whether or\nnot the degree of approximate multicollinearity in a multiple\nlinear regression model is of concern, meaning that it affects\nthe statistical analysis (i.e. individual significance tests)\nof the model. This objective is achieved by using the variance\ninflation factor redefined and the scatterplot between the\nvariance inflation factor and the coefficient of variation. For\nmore details see Salmerón R., García C.B. and García J. (2018)\n<doi:10.1080/00949655.2018.1463376>, Salmerón, R., Rodríguez,\nA. and García C. (2020) <doi:10.1007/s00180-019-00922-x>,\nSalmerón, R., García, C.B, Rodríguez, A. and García, C. (2022)\n<doi:10.32614/RJ-2023-010>, Salmerón, R., García, C.B. and\nGarcía, J. (2025) <doi:10.1007/s10614-024-10575-8> and\nSalmerón, R., García, C.B, García J. (2023, working paper)\n<doi:10.48550/arXiv.2005.02245>. You can also view the package\nvignette using 'browseVignettes(\"rvif\")', the package website\n(<https://www.ugr.es/local/romansg/rvif/index.html>) using\n'browseURL(system.file(\"docs/index.html\", package = \"rvif\"))'\nor version control on GitHub\n(<https://github.com/rnoremlas/rvif_package>).",
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