Package: fastPLS 0.99.67

Overview | Mathematical Methods and Implementations | Singular Value Decomposition Algorithms | Partial Least Squares Algorithms | Classification Methods | Computational Backends | Backend and CPU Configuration | Supported Computational Routes | Public API and Data Inputs | Bioconductor Data Containers | Choosing a Starting Model | Classification Tasks | Fit And Predict A Classifier | Evaluate Classification Predictions | Classification Heads | Kernel PLS For Classification | Classification Score Plots | Regression Tasks | Fit And Predict A Regression Model | Float32 Input | Evaluate Regression Predictions | OPLS For Regression | Cross-Validation | Ordinary k-fold CV | Grouped k-fold CV with constrain | Leave-one-out CV and leave-one-group-out CV | Component and hyperparameter optimization CV | Interpreting R2Y, Q2Y, and RMSD | Permutation-test p-values | Nested or double CV | SVD Utility | CUDA and Metal Availability | Helper Functions | Detailed Algorithmic Notes | Singular-vector backends | PLS-SVD | SIMPLS | OPLS | Kernel PLS | Classification heads | Method References | Session Information