The article explores a new way to estimate regression functions using copulas. By breaking down the regression function into copulas and marginal distributions, researchers can create a flexible estimator. They found that by estimating copulas through profile likelihood and marginals nonparametrically, they could achieve accurate results. The method was tested on air pollution data, showing its effectiveness in real-world applications.