| crossValidation | K-fold Cross Validation |
| dataIRSN5D | 5D benchmark from nuclear criticality safety assessments |
| DiceEval-package | Metamodels |
| foldsComposition | Setting up the Cross Validation |
| formulaAm | Construction of a formula Y~s(X1)+...+s(Xp) |
| formulaLm | Construction of a formula Y ~ X1+...+Xp |
| MAE | Mean Absolute Error |
| modelComparison | Comparison of different types of metamodels |
| modelFit | Fitting metamodels |
| modelPredict | Prediction at newdata for a fitted metamodel |
| penaltyPolyMARS | Choice of the penalty parameter for a PolyMARS model |
| R2 | Multiple R-Squared |
| residualsStudy | Plot residuals |
| RMA | Relative Maximal Absolute Error |
| RMSE | Root Mean Squared Error |
| stepEvolution | Evolution of the stepwise model |
| testCrossValidation | Test the robustess of the cross-validation procedure |
| testIRSN5D | A set of test data |
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