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  "Title": "Ridge Regression Parameter Estimation",
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  "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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