Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification

Documentation for package ‘bootsPLS’ version 1.1.2

bootsPLS-package	Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification
bootsPLS	Performs replications of sPLSDA on random subsamplings of the data
CI.prediction	Compute Confidence Intervals (CI) for test samples
compile.bootsPLS.object	Combine several bootsPLS objects into one
component.selection	Tune the number of components
fit.model	Create a spls.constraint object by fitting a constraint spls on a bootsPLS object
MSC	Mesenchymal Stem Cells data
plot.bootsPLS	Plot the frequency of selection of all variables for all the PLS-component.
plot.component.selection	Plot the results of the testing procedure to determine the number of component to select
plot.predictCI	Plot confidence Intervals
plot.variable.selection	Plot the results of the testing procedure to determine the number of variables to select
prediction	prediction
spls.hybrid	spls.hybrid, midway between PLS and sPLS
try	Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification
variable.selection	Tune the number of variables on each component