Before revision:  Our approach  exploits the probability integral transform and relies on permuting estimated ``ranks'' instead of regression residuals.
After revision:  Our approach can be applied to many important prediction problems including cross-sectional prediction, k-step-ahead forecasts, synthetic controls and counterfactual prediction, and individual treatment effects prediction. Our method exploits the probability integral transform and relies on permuting estimated ``ranks'' instead of regression residuals.