The researchers used a method called partial least-squares regression to improve a seepage monitoring model. This method helped reduce errors caused by the relationship between different monitoring indicators. They found that the partial least-squares regression model provided better predictions compared to the traditional multilinear regression model, with significantly lower prediction errors.