Dual Sparse Partial Least Squares Regression

Documentation for package ‘dual.spls’ version 0.1.4

dual.spls-package	dual.spls package
d.spls.calval	Splits data into calibration and validation sets using the splitting method CalValXy that takes into account X and y
d.spls.cv	Determination of the number of latent components to be used in a Dual-SPLS regression
d.spls.GL	Dual Sparse Partial Least Squares (Dual-SPLS) regression for the group lasso norms
d.spls.lasso	Dual Sparse Partial Least Squares (Dual-SPLS) regression for the lasso norm
d.spls.LS	Dual Sparse Partial Least Squares (Dual-SPLS) regression for the least squares norm
d.spls.metric	Computes predictions criterias
d.spls.NIR	Dual Sparse Partial Least Squares (Dual-SPLS) Near Infrared data
d.spls.plot	Plots the coefficient curve of a Dual-SPLS regression
d.spls.pls	Univariate Partial Least Squares regression
d.spls.predict	Makes predictions from a fitted Dual-SPLS model
d.spls.print	Print function for Dual-SPLS models
d.spls.ridge	Dual Sparse Partial Least Squares (Dual-SPLS) regression for the ridge norm
d.spls.simulate	Simulation of a data
dual.spls	dual.spls package