Variable Selection in Partial Least Squares

Documentation for package ‘plsVarSel’ version 0.9

bve_pls	Backward variable elimination PLS (BVE-PLS)
filterPLSR	Optimisation of filters for Partial Least Squares
ga_pls	Genetic algorithm combined with PLS regression (GA-PLS)
ipw_pls	Iterative predictor weighting PLS (IPW-PLS)
lda_from_pls	LDA/QDA classification from PLS model
lda_from_pls_cv	Cross-validated LDA/QDA classification from PLS model
LW	Filter methods for variable selection with Partial Least Squares.
mcuve_pls	Uninformative variable elimination in PLS (UVE-PLS)
mvrV	Multivariate regression function
myImagePlot	Matrix plotting
plot.shaved	Repeated shaving of variables
plsVarSel	Variable selection in Partial Least Squares
print.shaved	Repeated shaving of variables
RC	Filter methods for variable selection with Partial Least Squares.
rep_pls	Regularized elimination procedure in PLS
setDA	Set chosen Discriminant Analysis
shaving	Repeated shaving of variables
simulate_classes	Simulate classes
simulate_data	Simulate classes
sMC	Filter methods for variable selection with Partial Least Squares.
spa_pls	Sub-window permutation analysis coupled with PLS (SwPA-PLS)
SR	Filter methods for variable selection with Partial Least Squares.
stpls	Soft-Threshold PLS (ST-PLS)
summary.mvrV	Summary method for stpls and trunc
truncation	Trunction PLS
VIP	Filter methods for variable selection with Partial Least Squares.