mlm | R Documentation |

Fits a multivariate linear model and computes test statistics and asymptotic P-values for predictors in a non-parametric manner.

```
mlm(
formula,
data,
transform = "none",
contrasts = NULL,
subset = NULL,
fit = FALSE
)
```

`formula` |
object of class " |

`data` |
an optional data frame,
list or environment (or object coercible
by |

`transform` |
transformation
of the response variables: " |

`contrasts` |
an optional list.
See |

`subset` |
subset of predictors for which
summary statistics will be
reported. Note that this is different
from the " |

`fit` |
logical. If |

A `Y`

matrix is obtained after transforming
(optionally) and centering
the original response variables.
Then, the multivariate fit obtained by
`lm`

can be used to
compute sums of squares, pseudo-F statistics and asymptotic
P-values for the terms specified by the `formula`

in a non-parametric manner.

`mlm`

returns an object
of `class`

`"MLM"`

,
a list containing:

`call` |
the matched call. |

`aov.tab` |
ANOVA table with Df, Sum Sq, Mean Sq, F values, partial R-squared and P-values. |

`precision` |
the precision in P-value computation. |

`transform` |
the transformation applied to the response variables. |

`na.omit` |
incomplete cases removed
(see |

`fit` |
if |

Diego Garrido-MartÃn

`lm`

, `Anova`

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