Man pages for dual.spls
Dual Sparse Partial Least Squares Regression
| d.spls.calval | Splits data into calibration and validation sets using the... |
| d.spls.cv | Determination of the number of latent components to be used... |
| d.spls.errorcv | Computes the error of a cross validation iteration |
| d.spls.GL | Dual Sparse Partial Least Squares (Dual-SPLS) regression for... |
| d.spls.GLA | Dual Sparse Partial Least Squares (Dual-SPLS) regression for... |
| d.spls.GLB | Dual Sparse Partial Least Squares (Dual-SPLS) regression for... |
| d.spls.GLC | Dual Sparse Partial Least Squares (Dual-SPLS) regression for... |
| d.spls.lasso | Dual Sparse Partial Least Squares (Dual-SPLS) regression for... |
| d.spls.listecal | Determine the number of observations to select from each cell |
| d.spls.LS | Dual Sparse Partial Least Squares (Dual-SPLS) regression for... |
| d.spls.metric | Computes predictions criterias |
| d.spls.NIR | Dual Sparse Partial Least Squares (Dual-SPLS) Near Infrared... |
| d.spls.norm1 | Computing the l1 and l2 norm |
| 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... |
| d.spls.simulate | Simulation of a data |
| d.spls.split | Splits data into calibration and validation sets according to... |
| d.spls.type | Splitting the observations into groups |
| dual.spls-package | dual.spls package |
