Man pages for selbouhaddani/O2PLS
O2PLS: Two-Way Orthogonal Partial Least Squares
| adjR2 | Gridwise adjusted R2 for O2PLS |
| crossval_o2m | Cross-validate procedure for O2PLS |
| crossval_o2m_adjR2 | Adjusted Cross-validate procedure for O2PLS |
| input_checker | Check if matrices satisfy input conditions |
| loadings | Extract the loadings from an O2PLS fit |
| loocv | K fold CV for O2PLS |
| loocv_combi | K-fold CV based on symmetrized prediction error |
| mse | Calculate mean squared difference |
| o2m | Perform O2-PLS with two-way orthogonal corrections |
| o2m2 | Perform O2-PLS with two-way orthogonal corrections |
| o2m_stripped | Perform O2-PLS with two-way orthogonal corrections |
| o2m_stripped2 | Perform O2-PLS with two-way orthogonal corrections |
| O2PLS | O2PLS: Two-Way Orthogonal Partial Least Squares |
| orth | Orthogonalize a matrix |
| plot.o2m | Plot one or two loading vectors for class o2m |
| pow_o2m | NIPALS method for PLS2 |
| pow_o2m2 | Power method for PLS2 |
| predict.o2m | Predicts X or Y |
| print.cvo2m | Cross-validate procedure for O2PLS |
| print.o2m | Print function for O2PLS. |
| print.summary.o2m | Prints the summary of an O2PLS fit |
| rmsep | Root MSE of Prediction |
| rmsep_combi | Symmetrized root MSE of Prediction |
| ssq | Calculate Sum of Squares |
| summary.o2m | Summary of an O2PLS fit |
| vnorm | Norm of a vector or columns of a matrix |
