spls (version 2.1-2)

plot.spls: Plot the coefficient path of SPLS regression

Description

Provide the coefficient path plot of SPLS regression as a function of the number of hidden components (K) when eta is fixed.

Usage

## S3 method for class 'spls':
plot( x, yvar=c(1:ncol(x$y)), ... )

Arguments

x

A fitted SPLS object.

yvar

Index vector of responses to be plotted.

...

Other parameters to be passed through to generic plot.

Value

• NULL.

Details

plot.spls provides the coefficient path plot of SPLS fits. The plot shows how estimated coefficients change as a function of the number of hidden components (K), when eta is fixed at the value used by the original SPLS fit.

References

Chun H and Keles S (2010), "Sparse partial least squares for simultaneous dimension reduction and variable selection", Journal of the Royal Statistical Society - Series B, Vol. 72, pp. 3--25.

See Also

print.spls, predict.spls, and coef.spls.

Examples

data(yeast)
# SPLS with eta=0.7 & 8 hidden components
f <- spls( yeast$x, yeast$y, K=8, eta=0.7 )
# Draw coefficient path plots for the first two responses
plot( f, yvar=c(1:2) )