activeByImportance      Select chain responses by mean normalized
                        importance
activeByShadow          Select chain responses by a shadow comparison
aggregateResponses      Select and assemble final response deliveries
auditOverfit            Audit package-defined in-sample optimism
auditQuantiles          Estimate signed OOF-residual offsets
buildDataset            Build per-response training and prediction
                        files
chainPipeline           Fit an iterative multi-response companion chain
computeActiveByImportance
                        Extract, threshold, and intersect fixed-gate
                        chain responses
detectOutliers          Flag regression training outliers
extractChainImportance
                        Extract normalized importance for response
                        companions
modelPipeline           Orchestrate the supervised ssel workflow
oofEnsemble             Reconstruct a projected OOF ensemble
postProcess             Assemble user-facing prediction deliverables.
predictModel            Evaluate fitted cells and select response-level
                        deliveries
removeOutliersIQR       Remove rows outside feature IQR envelopes
semiSupervisedPipeline
                        Fit a range-ratio pseudo-label promotion loop
toNumeric               Convert supported numeric strings to numeric
                        values
trainModel              Fit every discovered response-dataset training
                        cell
trainRegressionModel    Fit or evaluate a requested response-dataset
                        grid
which.nonnum            Locate values outside base R's numeric grammar
