Plot the coefficient path of SPLS regression
Provide the coefficient path plot of SPLS regression as a function of the number of hidden components (K) when eta is fixed.
## S3 method for class 'spls' plot( x, yvar=c(1:ncol(x$y)), ... )
x |
A fitted SPLS object. |
yvar |
Index vector of responses to be plotted. |
... |
Other parameters to be passed through to generic |
plot.spls provides the coefficient path plot of SPLS fits.
The plot shows how estimated coefficients change
as a function of the number of hidden components (K),
when eta is fixed at the value used by the original SPLS fit.
NULL.
Dongjun Chung, Hyonho Chun, and Sunduz Keles.
Chun H and Keles S (2010), "Sparse partial least squares for simultaneous dimension reduction and variable selection", Journal of the Royal Statistical Society - Series B, Vol. 72, pp. 3–25.
print.spls, predict.spls,
and coef.spls.
data(yeast) # SPLS with eta=0.7 & 8 hidden components f <- spls( yeast$x, yeast$y, K=8, eta=0.7 ) # Draw coefficient path plots for the first two responses plot( f, yvar=c(1:2) )
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