Description Usage Arguments Value Note Author(s) References Examples

calculates a quotient of the overall varriance within a predicted distribution to that from the original one. This function calculates a naive extension of the univariate R^2-value by dividing the variance in the predicted dat by the variance of the original data. No additional adjustments are made!!

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`model` |
a model of classes "lm" or "mvr" (from the package "pls") |

`...` |
currently unused additional arguments. |

`ncomp` |
How many latent variables to use (only for mvr models) |

`val` |
use cross-vaildated predictions (only for mvr models) |

returns the quotient.

The result is only!! a rough estimate of the variance explained by a multivariate model. And the result can be misleading - especially when there are many predictor variables involved. If one is interested in the value each factor/covariate explains, we recommend a 50-50 MANOVA perfomed by the R-package "ffmanova", which reports this value factor-wise.

Stefan Schlager

Langsrud O, Juergensen K, Ofstad R, Naes T. 2007. Analyzing Designed Experiments with Multiple Responses Journal of Applied Statistics 34:1275-1296.

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