Regression Data Analysis, Overfitting, Loocv, Crossvalidation, Calibration.
Cross-validation: Divide your data into training and validation sets. Fit your model to the training data and evaluate its performance on the validation set. This helps to assess how well the model generalises to unseen data and can guide you in choosing an appropriate model complexity.