Description Slots Methods Author(s)

An S4 class representing the output of the `plrs`

function.

`coefficients`

:Object of class

`numeric`

containing spline coefficients`fitted.values`

:Object of class

`numeric`

containing the fitted values`residuals`

:Object of class

`numeric`

containing the residuals`X`

:Object of class

`matrix`

containing the design matrix`data`

:Object of class

`list`

containing input data`mdata`

:Object of class

`list`

containing (possibly modified) data used to fit the model (See`modify.conf`

).`QP`

:Object of class

`list`

containing input elements used for quadratic programming. If the model is unconstrained this contains a light version of an`lm`

object.`test`

:Object of class

`list`

containing results from testing.`cb`

:Object of class

`list`

containing lower and upper bounds for predicted values.`selected`

:Object of class

`logical`

indicating whether the model results from a selection procedure.`type`

:Object of class

`character`

giving the type of model`call.arg`

:Object of class

`list`

containing the input arguments (for reproducibility)

- coef
Returns the coefficients

- criteria
See

`criteria`

- effects
Returns matrix of effects

- fitted
Returns the fitted values

- knots
Returns the knots

- model.matrix
Returns the design matrix

- plot
See

`plot.plrs`

- predict
See

`predict.plrs`

Print the object information

- residuals
Returns the residuals

- show
Print the object information

- summary
Print a summary of the object information

Gwenael G.R. Leday g.g.r.leday@vu.nl

plrs documentation built on April 28, 2020, 6:09 p.m.

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