R: Internal SPLS functions

spls-internal {spls} | R Documentation

## Internal SPLS functions

### Description

Internal SPLS functions.

### Usage

    heatmap.spls( mat, coln=16, as='n', ... )
    spls.dv( Z, eta, kappa, eps, maxstep )
    ust( b, eta )
    correctp( x, y, eta, K, kappa, select, fit )
    cv.split( y, fold )
    wpls( x, y, V, K=ncol(x), type="pls1",
            center.x=TRUE, scale.x=FALSE )
    sgpls.binary( x, y, K, eta, scale.x=TRUE,
            eps=1e-5, denom.eps=1e-20, zero.eps=1e-5, maxstep=100,
            br=TRUE, ftype='iden' )
    sgpls.multi( x, y, K, eta, scale.x=TRUE,
            eps=1e-5, denom.eps=1e-20, zero.eps=1e-5, maxstep=100,
            br=TRUE, ftype='iden' )
    cv.sgpls.binary( x, y, fold=10, K, eta, scale.x=TRUE, plot.it=TRUE,
        br=TRUE, ftype='iden', n.core=8 )
    cv.sgpls.multi( x, y, fold=10, K, eta, scale.x=TRUE, plot.it=TRUE,
        br=TRUE, ftype='iden', n.core=8 )

### Details

These are not to be called by the user.

### Author(s)

Dongjun Chung, Hyonho Chun, and Sunduz Keles.

### References

Chung D and Keles S (2010), "Sparse partial least squares classification for high dimensional data", Statistical Applications in Genetics and Molecular Biology, Vol. 9, Article 17.

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.

[Package spls version 2.2-2 Index]