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  "Title": "Ridge Regression Parameter Estimation",
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  "Authors@R": "c(\nperson(\"Filiz\", \"Karadag\", , \"filiz.karadag@ege.edu.tr\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-0116-7772\")),\nperson(\"Hakan Savas\", \"Sazak\", , \"hakan.savas.sazak@ege.edu.tr\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-6123-1214\")),\nperson(\"Olgun\", \"Aydin\", , \"olgun.aydin@pg.edu.pl\", role = c(\"cre\"),\ncomment = c(ORCID = \"0000-0002-7090-0931\")))",
  "Description": "It is a package that provides alternative approach for\nfinding optimum parameters of ridge regression. This package\nfocuses on finding the ridge parameter value k which makes the\nvariance inflation factors closest to 1, while keeping them\nabove 1 as addressed by Michael Kutner, Christopher Nachtsheim,\nJohn Neter, William Li (2004, ISBN:978-0073108742). Moreover,\nthe package offers end-to-end functionality to find optimum k\nvalue and presents the detailed ridge regression results.\nFinally it shows three sets of graphs consisting k versus\nvariance inflation factors, regression coefficients and\nstandard errors of them.",
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