This function aggregates the results of multiple estimations and display them in the form of only one table whose rownames are the variables and the columns contain the coefficients and standard-errors.

1 2 3 |

`...` |
Used to capture different |

`sd` |
A character scalar. The standard-error is computed similarly for each |

`cluster` |
A list of vectors. Used only if |

`digits` |
Integer. The number of digits to be displayed. |

`pseudo` |
Logical. Should the pseudo R2 be displayed? (Default is |

`sdBelow` |
Logical. Should the standard-error be displayed below the coefficients? (Default is |

`drop` |
Character vector. This element is used if some variables are not to be displayed. This should be a regular expression (see regexp help for more info). There can be more than one regular expression. Each variable satisfying the regular expression will be discarded. |

`order` |
Character vector. This element is used if the user wants the variables to be ordered in a certain way. This should be a regular expression (see regexp help for more info). There can be more than one regular expression. The variables satisfying the first regular expression will be placed first, then the order follows the sequence of regular expressions. |

`convergence` |
Logical. Should the convergence state of the algorithm be displayed? (Default is |

There is nothing returned, the result is only displayed on the console.

Laurent Berge

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
n = 100
x = rnorm(n,1,5)**2
y = rnorm(n,-1,5)**2
z = rpois(n,x*y)
base = data.frame(x,y,z)
# Results of the Poisson..
est_poisson = femlm(z~log(x)+log(y),base,family="poisson")
# .. and of the Negative Binomial
est_negbin = femlm(z~log(x)+log(y),base,family="negbin")
# We display the two results in one table:
res2table(est_poisson,est_negbin)
``` |

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