summary.PLR {LorenzRegression}

Summary for the Penalized Lorenz Regression

Description

summary.PLR provides a summary for an object of class PLR.

Usage

## S3 method for class 'PLR'
summary(object, renormalize = TRUE, ...)

Arguments

object

Output of a call to Lorenz.Reg, where penalty!="none".

renormalize

whether the coefficient vector should be re-normalized to match the representation where the first category of each categorical variable is omitted. Default value is TRUE

...

Additional arguments.

Value

A summary displaying two tables: a summary of the model and the estimated coefficients.

See Also

Lorenz.Reg

Examples

data(Data.Incomes)
PLR <- Lorenz.Reg(Income ~ ., data = Data.Incomes, penalty = "SCAD",
                  sel.choice = c("BIC","CV"), h.grid = nrow(Data.Incomes)^(-1/5.5),
                  eps = 0.01, seed.CV = 123, nfolds = 5)
summary(PLR)