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These graphical methods show both bias\n(actually, shrinkage) and precision, by plotting the covariance\nellipsoids of the estimated coefficients, rather than just the\nestimates themselves. 2D and 3D plotting methods are provided,\nboth in the space of the predictor variables and in the\ntransformed space of the PCA/SVD of the predictors.", "License": "GPL (>= 2)", "LazyLoad": "yes", "LazyData": "yes", "Language": "en-US", "BugReports": "https://github.com/friendly/genridge/issues", "URL": "https://github.com/friendly/genridge,\nhttps://friendly.github.io/genridge/", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "Config/pak/sysreqs": "cmake libfreetype6-dev libglu1-mesa-dev make\ntexlive libicu-dev libpng-dev libuv1-dev libgl1-mesa-dev\nzlib1g-dev", "Repository": "https://friendly.r-universe.dev", "Date/Publication": "2025-08-26 14:12:27 UTC", "RemoteUrl": "https://github.com/friendly/genridge", "RemoteRef": "HEAD", "RemoteSha": "336fe1e58327e54dbb2759d1ca56cd4f773310a5", 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