# summary.gl1ce

##### Summary Method for Generalized L1 Constrained Regression Models

Returns (and prints) a summary list for fitted generalized L1 constrained regression models.

- Keywords
- models

##### Usage

```
# S3 method for gl1ce
summary(object, dispersion = NULL, correlation = FALSE, …)
# S3 method for summary.gl1ce
print(x, digits = max(3, getOption("digits") - 3), …)
```

##### Arguments

- object
fitted

`gl1ce`

model object. This is assumed to be the result of some fit that produces an object inheriting from the class`gl1ce`

, in the sense that the components returned by the gl1ce() function will be available.- dispersion
prescribed dispersion, see

`summary.glm`

.- correlation
logical indicating if the correlation matrix should be returned as well.

- x
object of class

`summary.gl1ce`

.- digits, …
further arguments for the

`print`

method.

##### Details

This function is a method for the generic function summary for class
`gl1ce`

.
It can be invoked by calling summary for an object of the appropriate class,
or directly by calling summary.gl1ce regardless of the class of the object.

##### Value

an object of class `summary.gl1ce`

(for which there's a
`print`

method).
It is basically a list with the following components:

as contained on object

the deviance residuals, as produced by
`residuals(object, type = "deviance")`

.

the coefficients of the model.

the family of models to which object belongs, along with the variance and link functions for that model.

the bound used in fitting this model

the Lagrangian of the model

*Documentation reproduced from package lasso2, version 1.2-21.1, License: GPL (>= 2)*