Ridge Regression Parameter Estimation R package ridgregextra version 0.1.1 It is a package that provides alternative approach for finding optimum parameters of ridge regression. This package focuses on finding the ridge parameter value k which makes the variance inflation factors closest to 1, while keeping them above 1 as addressed by Michael Kutner, Christopher Nachtsheim, John Neter, William Li (2004, ISBN:978-0073108742). Moreover, the package offers end-to-end functionality to find optimum k value and presents the detailed ridge regression results. Finally it shows three sets of graphs consisting k versus variance inflation factors, regression coefficients and standard errors of them. Software Depends: R (>= 4.0.0), plotly (>= 4.9.0), isdals (>= 3.0.0), mctest (>= 1.3.0), stats(>= 4.0.0), graphics(>= 4.0.0) Olgun Aydin <olgun.aydin@pg.edu.pl> Comprehensive R Archive Network (CRAN) Filiz Karadag [aut] (ORCID: <https://orcid.org/0000-0002-0116-7772>), Hakan Savas Sazak [aut] (ORCID: <https://orcid.org/0000-0001-6123-1214>), Olgun Aydin [cre] (ORCID: <https://orcid.org/0000-0002-7090-0931>) GPL (>= 3) 2023-11-25 application/tgz https://CRAN.R-project.org/package=ridgregextra doi:10.32614/CRAN.package.ridgregextra