# gl1ce.object

##### Generalized L1 Constrained Estimation Model Object

These are objects of class `gl1ce`

They represent the fit of a generalized regression model under an L1
constraint on (some of) the parameters.

- Keywords
- classes, methods, regression

##### Details

The residuals, fitted values, coefficients, and effects should be extracted
by the generic functions of the same name, rather than
by the `$`

operator.

##### GENERATION

This class of objects is returned from the `gl1ce`

function
to represent a fitted model.

##### METHODS

The `gl1ce`

class of objects has methods for the following generic
functions:
`deviance`

, `predict`

, `print`

, `residuals`

, `summary`

. Other generic
functions are inherited from the class `l1ce`

.

##### STRUCTURE

The following components must be included in a legitimate `gl1ce`

object.
`residuals`

function with `type="pearson"`

.
}
`binomial(link=probit)`

.
}
`sweep.out = NULL`

.
}
`i`

th element of the list is the vector saying which coefficients
correspond to the `i`

th term.
It may be of length 0 if there were no estimable effects for the term.
See also `R.assign`

below.
}
`expression`

and class `term`

summarizing the formula.
Used by various methods, but typically not of direct relevance to users.
}
`x=T`

.
}
`y=T`

.
}

##### See Also

*Documentation reproduced from package lasso2, version 1.1-0, License: GPL version 2 or later*