Package: groc 1.0.9

groc: Generalized Regression on Orthogonal Components

Robust multiple or multivariate linear regression, nonparametric regression on orthogonal components, classical or robust partial least squares models as described in Bilodeau, Lafaye De Micheaux and Mahdi (2015) <doi:10.18637/jss.v065.i01>.

Authors:Pierre Lafaye De Micheaux [aut, cre], Martin Bilodeau [aut], Jiahui Wang [cph], Ruben Zamar [cph], Alfio Marazzi [cph], Victor Yohai [cph], Matias Salibian-Barrera [cph], Ricardo Maronna [cph], Eric Zivot [cph], David Rocke [cph], Doug Martin [cph], Martin Maechler [cph], Kjell Konis [cph]

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13 exports 0.09 score 11 dependencies 14 scripts 353 downloads

Last updated 7 months agofrom:7ef21701a1. Checks:OK: 7 NOTE: 2. Indexed: yes.

Exports:corrobcovrobcovRobcovRob.controldcovgrocgroc.defaultgrocCrossvalgrocfitplot.grocpredict.grocprint.grocsummary.groc

Dependencies:DEoptimRlatticeMASSMatrixmgcvmvtnormnlmepcaPPplsrobustbaserrcov