What Does NLPLS Stand For?

NLPLS stands for Nonlinear Partial Least Squares

Nonlinear Partial Least Squares (NLPLS) is a statistical modeling technique used to analyze complex relationships between variables in datasets where traditional linear methods may fall short. By capturing nonlinear patterns, NLPLS enhances the predictive accuracy of models, making it particularly useful in fields such as chemometrics, bioinformatics, and social sciences. This method integrates aspects of principal component analysis and regression, enabling the simultaneous extraction of latent variables while accommodating nonlinearity in the data. Through its ability to handle multicollinearity and high-dimensional spaces, NLPLS provides robust insights and supports effective decision-making.