Description Usage Arguments See Also Examples

`lp`

is a local polynomial model term for Locfit models.
Usually, it will be the only term on the RHS of the model formula.

Smoothing parameters should be provided as arguments to `lp()`

,
rather than to `locfit()`

.

1 |

`...` |
Predictor variables for the local regression model. |

`nn` |
Nearest neighbor component of the smoothing parameter.
Default value is 0.7, unless either |

`h` |
The constant component of the smoothing parameter. Default: 0. |

`adpen` |
Penalty parameter for adaptive fitting. |

`deg` |
Degree of polynomial to use. |

`acri` |
Criterion for adaptive bandwidth selection. |

`style` |
Style for special terms ( |

`scale` |
A scale to apply to each variable. This is especially important for
multivariate fitting, where variables may be measured in
non-comparable units. It is also used to specify the frequency
for |

1 2 3 4 5 6 7 8 9 |

```
locfit 1.5-9.1 2013-03-22
```

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