The `plot.wle.lm`

function plots a separate graph
windows for each root. In each windows four plots are printed:
residuals vs fitted, normal qq plot of the residuals, weighted
residuals vs weighted fitted, normal qq plot of the weighted
residuals. A summary plot is also printed: in the diagonal, the value
of the weigths vs position of the observations for each root; in the
upper diagonal residuals vs residuals of two different roots; in the
lower diagonal weights vs weights of two different roots. The roots
and the graphs can be chosen by the arguments `roots`

,
`which.main`

and `which`

.

1 2 3 4 |

`x` |
an object of class |

`roots` |
a vector specify for which roots the plots are required. |

`which` |
if a subset of the plots for each root is required, specify a subset of the numbers |

`which.main` |
if a subset of the plots for the main graphic is
required, specify a subset of the numbers |

`level.weight` |
value of the weight under which an observations is marked with different color. |

`ask` |
logical; if |

`col` |
a vector of 3 elements, to specify colors for the plots. |

`id.n` |
number of points to be labelled in some plots, starting with the ones with less weight. |

`labels.id` |
vector of labels, from which the labels for less weighted points will be chosen. If missing uses observation numbers. |

`cex.id` |
magnification of point labels. |

`verbose` |
if |

`...` |
graphical parameters can be given as arguments. |

Claudio Agostinelli

`wle.lm`

a function for estimating linear models with normal distribution error and normal kernel.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ```
library(wle)
data(artificial)
result <- wle.lm(y~x1+x2+x3, data=artificial, boot=40, group=6, num.sol=2)
result
plot(result) # all plots, default behavior
plot(result, roots=1) # only first root, one plot for window
par(mfcol=c(2,2))
plot(result, roots=1) # only first root, as usual
plot(result, roots=2, which=1, which.main=0)
# only second root, only residual vs fitted values plot
plot(result, which=1)
# main plot + residual vs fitted values plot for each root
par(mfcol=c(3,2))
plot(result, which=1)
# main plot + residual vs fitted values plot for each root all in the same window
``` |

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