R: Plot the coefficient path of SPLS regression

plot.spls {spls} | R Documentation

## 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`.

### 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.

### Value

NULL.

### Author(s)

Dongjun Chung, Hyonho Chun, and Sunduz Keles.

### 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) )

[Package spls version 2.2-2 Index]