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 |