R: Variable Selection in Partial Least Squares

# Variable Selection in Partial Least Squares

## Documentation for package ‘plsVarSel’ version 0.9.12

- DESCRIPTION file.
- Package NEWS.

## Help Pages

bve_pls | Backward variable elimination PLS (BVE-PLS)
covSel | Covariance Selection - CovSel
filterPLSR | Optimisation of filters for Partial Least Squares
FRC | Filter methods for variable selection with Partial Least Squares.
ga_pls | Genetic algorithm combined with PLS regression (GA-PLS)
ipw_pls | Iterative predictor weighting PLS (IPW-PLS)
ipw_pls_legacy | 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)
mRMR | Filter methods for variable selection with Partial Least Squares.
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
T2_pls | Hotelling's T^2 based variable selection in PLS - T^2-PLS)
truncation | Trunction PLS
URC | Filter methods for variable selection with Partial Least Squares.
VIP | Filter methods for variable selection with Partial Least Squares.
WVC_pls | Weighted Variable Contribution in PLS (WVC-PLS)