heatmap.spls( mat, coln=16, as='n', ... )
spls.dv( x, y, eta, kappa, eps, maxstep )
ust( b, eta )
correctp( x, y, eta, K, kappa, select, fit )
Arguments
Details
These are not to be called by the user.
References
Chun, H. and Keles, S. (2007). "Sparse partial least squares
for simultaneous dimension reduction and variable selection",
(http://www.stat.wisc.edu/~keles/Papers/SPLS_Nov07.pdf).