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  "Description": "The Graphical Group Ridge 'GGRidge' package package\nclassifies ridge regression predictors in disjoint groups of\nconditionally correlated variables and derives different\npenalties (shrinkage parameters) for these groups of\npredictors. It combines the ridge regression method with the\ngraphical model for high-dimensional data (i.e. the number of\npredictors exceeds the number of cases) or ill-conditioned data\n(e.g. in the presence of multicollinearity among predictors).\nThe package reduces the mean square errors and the extent of\nover-shrinking of predictors as compared to the ridge\nmethod.Aldahmani, S. and Zoubeidi, T. (2020)\n<DOI:10.1080/00949655.2020.1803320>.",
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