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

The R2 measure of determination for linear models

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`object` |
a statistical model |

`...` |
further not yet used parameters |

`adjust` |
Logical, whether the estimate of R2 should be adjusted for the degrees of freedom of the model. |

`ref` |
A reference model for computation of a relative |

The *R^2* measure of determination is defined as:

*1-var(residuals)/var(data)*

and provides the portion of variance explained by the model. It is a number between 0 and 1, where 1 means the model perfectly explains the data and 0 means that the model has no better explanation of the data than a constant mean. In case of multivariate models metric variances are used.

If a reference model is given by `ref`

, the variance of the
residuals of that models rather than the variance of the data is
used. The value of such a relative *R^2* estimates how much
of the residual variance is explained.

If `adjust=TRUE`

the unbiased estiamators for the variances are
used, to avoid the automatisme that a more parameters automatically
lead to a higher *R^2*.

The R2 measure of determination.

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

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