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Plot GCV versus lambda for ridge regression

Usage

# S4 method for class 'lmRidge'
plot(x, y, ...)

Arguments

x

fit from lmRidge()

y

ignored here

...

other parameters passed to plot()

Value

plot of GCV versus lambda

See also

Examples

y = longley$GNP.deflator
design = model.matrix(~ 1, longley)
X = longley[,-1]

lambda = seq(0, .05, length.out=40)

fit = lmRidge(y, design, X, lambda = lambda)

par(pty="s")
plot(fit)