What Does NPCR Stand For?

NPCR stands for Nonlinear Principal Components Regression

Nonlinear Principal Components Regression (NPCR) is a statistical technique that combines principal components analysis (PCA) with regression methods to model complex relationships in data. NPCR is particularly effective in scenarios where the relationship between predictors and response variables is nonlinear, allowing for the reduction of dimensionality while preserving essential variances. By extracting nonlinear patterns through principal component transformation, NPCR enhances predictive accuracy and interpretability in multivariate datasets.

Other Meanings for NPCR