Description Usage Arguments Value Author(s) References See Also Examples

This function applies the forward search approach to robust analysis in linear regression models.

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`formula` |
a symbolic description of the model to be fit. The details of the model are the same as for lm. |

`data` |
an optional data frame containing the variables in the model. By default the variables are taken from the environment from which the function is called. |

`nsamp` |
the initial subset for the forward search in linear regression is found by fitting the regression model with the R function |

`x` |
A matrix of predictors values (if no formula is provided). |

`y` |
A vector of response values (if no formula is provided). |

`intercept` |
Logical for the inclusion of the intercept (if no formula is provided). |

`na.action` |
a function which indicates what should happen when the data contain |

`trace` |
logical, if |

The function returns an object of class `"fwdlm"`

with the following components:

`call` |
the matched call. |

`Residuals` |
a |

`Unit` |
a matrix of units added (to a maximum of 5 units) at each step. |

`included` |
a list with each element containing a vector of units included at each step of the forward search. |

`Coefficients` |
a |

`tStatistics` |
a |

`CookDist` |
a |

`ModCookDist` |
a |

`Leverage` |
a |

`S2` |
a |

`MaxRes` |
a |

`MinDelRes` |
a |

`StartingModel` |
a |

Originally written for S-Plus by:
Kjell Konis kkonis@insightful.com and Marco Riani mriani@unipr.it

Ported to R by Luca Scrucca luca@stat.unipg.it

Atkinson, A.C. and Riani, M. (2000), *Robust Diagnostic Regression Analysis*, First Edition. New York: Springer, Chapters 2-3.

`summary.fwdlm`

, `plot.fwdlm`

, `fwdsco`

, `fwdglm`

, `lmsreg`

.

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