These are the basic computing engines called by `lmRob`

used to robustly fit linear models. These functions are not intended to be used directly.

1 2 3 |

`x` |
a numeric matrix containing the design matrix. |

`y` |
a numeric vector containing the linear model response. |

`w` |
a numeric vector containing the weights. |

`x1.idx` |
a numeric vector containing the indices of columns of the design matrix arising from the coding of factor variables. |

`nrep` |
the number of random subsamples to be drawn. If |

`robust.control` |
a list of control parameters to be used in the numerical algorithms. See |

`...` |
additional arguments. |

robust documentation built on May 21, 2017, 1:14 a.m.

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