# l1celist.object

##### Object of Several L1 Constrained Estimation Models

These are objects of class `"l1celist"`

They represent the fits of several regression models 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 using the `[[]]`

and the `$`

operator.

##### GENERATION

This class of objects is returned from the `l1ce`

function
to represent a fitted model.

##### METHODS

The `"l1celist"`

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

, `[[`

, `aux`

, `coef`

, `deviance`

, `fitted`

, `formula`

, `gcv`

,
`labels`

, `plot`

, `print`

, `residuals`

, `vcov`

.

##### STRUCTURE

An object of class `l1celist`

is a list of lists. Each component of
the list is a list with the information of an object of class `l1ce`

that is unique for that information. All shared information is stored
as attributes.

Each component of the list must include the following components
for it to be a legitimate `l1celist`

object.

- coefficients
the coefficients of the fit of the response to the columns of the model matrix. The names of the coefficients are the names of the columns of the model matrix.

- residuals
the residuals from the fit. If weights were used, then the residuals are the raw residuals - the weights are not taken into account. If you need residuals that all have the same variance, then use the

`residuals`

function with`type="pearson"`

.- fitted.values
the fitted values from the fit. If weights were used, the fitted values are not adjusted for the weights.

- bound
the (absolute) L1 constraint imposed on the parameters.

- relative.bound
optional, the (relative) L1 constraint imposed on the parameters. Present if

`absolute.t=F`

.- Lagrangian
the value of the Lagrangian that enforces the constraint at the solution.

- xtr
the product of the design matrix of the variables that are under the constraint (after taking weights, sweep-out variables and standardization into account) with the residual vector.

- constrained.coefficients
the coefficients on the scale on which they are constrained. Useful as initial value for further fits.

##### See Also

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