What Does EDPCR Stand For?

EDPCR stands for Extended Disjoint Principal Components Regression

EDPCR, or Extended Disjoint Principal Components Regression, is a statistical modeling technique that enhances traditional principal components regression by incorporating an extended disjoint framework. This approach allows for the effective handling of multicollinearity and dimensionality reduction in high-dimensional datasets. By selecting and utilizing independent components from various subsets of predictor variables, EDPCR improves model interpretability and prediction accuracy, making it particularly useful in applications requiring robust and efficient variable selection while maintaining computational feasibility.