Class of object returned by a cross-validation performed through
the `crossval`

method.

`lambda1`

:vector of

*lambda1*(*l1*or*infinity*penalty levels) for which each cross-validation has been performed.`lambda2`

:vector (or scalar) of

*l2*-penalty levels for which each cross-validation has been performed.`lambda1.min`

:level of

*lambda1*that minimizes the error estimated by cross-validation.`lambda1.1se`

:largest level of

*lambda1*such as the cross-validated error is within 1 standard error of the minimum.`lambda2.min`

:level of

*lambda2*that minimizes the error estimated by cross-validation.`cv.error`

:a data frame containing the mean cross-validated error and its associated standard error for each values of

`lambda1`

and`lambda2`

.`folds`

:list of

`K`

vectors indicating the folds used for cross-validation.`beta.min`

:the vector of parameters obtained by fitting the problem on the full data set

`x`

and`y`

with`lambda1.min`

and`lambda2.min`

penalties.`beta.1se`

:the vector of parameters obtained by fitting the problem on the full data set

`x`

and`y`

with`lambda1.1se`

and`lambda2.min`

penalties.

The specific `plot,cvpen-method`

method is documented.

See also `plot,cvpen-method`

and
`crossval`

.

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