# Variance-covariance matrix of the regression coefficients

### Description

This function returns the variance-covariance matrix of PLS regression coefficients.

### Usage

1 2 |

### Arguments

`object` |
an object of class |

`...` |
additional parameters |

### Details

The function returns the variance-covariance matrix for the model parameters assigned to `jack.ppls`

. Together with the regression coefficients returned by `coef.mypls`

, it is possible to construct confidence intercals or tests.

### Value

variance-covariance matrix

### Author(s)

Nicole Kraemer

### See Also

`jack.ppls`

, `penalized.pls.cv`

### Examples

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