Description Usage Arguments Value Examples

Extracts estimated coefficients from linear and logistic regression, under the penalty parameter that minimises the cross-validated loss.

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`object` |
cornet object |

`...` |
further arguments (not applicable) |

This function returns a matrix with *n* rows and two columns,
where *n* is the sample size. It includes the estimated coefficients
from linear regression (1st column: `"beta"`

)
and logistic regression (2nd column: `"gamma"`

).

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