| bigPLSR-package | bigPLSR-package |
| .finalize_pls_fit | Finalize pls objects |
| bigPLSR | bigPLSR-package |
| bigPLSR_stream_kstats | Streamed centering statistics for RKHS kernels |
| cpp_irls_binomial | Fast IRLS for binomial logit with class weights |
| cpp_kernel_pls | Internal kernel and wide-kernel PLS solver |
| external_pls_benchmarks | Benchmark results against external PLS implementations |
| kf_pls_state_fit | Finalize a KF-PLS state into a fitted model |
| kf_pls_state_new | KF-PLS streaming state (constructor) |
| kf_pls_state_update | Update a KF-PLS streaming state with a mini-batch |
| plot_pls_biplot | PLS biplot |
| plot_pls_bootstrap_coefficients | Boxplots of bootstrap coefficient distributions |
| plot_pls_bootstrap_scores | Boxplots of bootstrap score distributions |
| plot_pls_individuals | Plot individual scores |
| plot_pls_variables | Plot variable loadings |
| plot_pls_vip | Plot Variable Importance in Projection (VIP) |
| pls_bootstrap | Bootstrap a PLS model |
| pls_cross_validate | Cross-validate PLS models |
| pls_cv_select | Select components from cross-validation results |
| pls_fit | Unified PLS fit with auto backend and selectable algorithm |
| pls_information_criteria | Compute information criteria for component selection |
| pls_predict_response | Predict responses from a PLS fit |
| pls_predict_scores | Predict latent scores from a PLS fit |
| pls_select_components | Component selection via information criteria |
| pls_threshold | Naive sparsity control by coefficient thresholding |
| pls_vip | Variable importance in projection (VIP) scores |
| predict.big_plsr | Predict method for big_plsr objects |
| print.summary.big_plsr | Print a 'summary.big_plsr' object |
| summarise_pls_bootstrap | Summarise bootstrap estimates |
| summary.big_plsr | Summarize a 'big_plsr' model |