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

The `regr`

reports beta weights, standardized beta weights,
structure coefficients, adjusted effect sizes, and commonality
coefficients for `lm`

class objects.

1 | ```
regr(lm.out)
``` |

`lm.out` |
lm class object |

The function `regr`

takes the lm class object and reports
beta weights, standardized beta weights, structure coefficients,
adjusted effect sizes, and commonality
coefficients for `lm`

class objects.

`LM_Output` |
The summary of the output from the |

`Beta_Weights` |
Beta weights for the regression effects |

`Structure_Coefficients` |
Structure coefficients for the regression effects |

`Commonality_Data` |
Commonality coefficients for the regression effects. The output only produces a parsed version of CCdata |

`Effect_Size` |
Adjusted effect size computations based on R^2 adjustments |

J. Kyle Roberts <[email protected]>, Kim Nimon <[email protected]>

Kraha, A., Turner, H., Nimon, K., Zientek, L., Henson, R. (2012). Tools to support multiple regression in the face of multicollinearity.*Frontiers in Psychology*, *3*(102), 1-13.

`commonalityCoefficients`

,
`effect.size`

1 2 3 4 5 6 |

yhat documentation built on May 29, 2017, 10:39 p.m.

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