Dive into the world of sparse modeling with this comprehensive 56-minute lecture on the LASSO (Least Absolute Shrinkage and Selection Operator) method. Explore its applications in linear regression, Partial Least Squares (PLS), and Principal Component Analysis (PCA). Gain valuable insights into this powerful technique for feature selection and model simplification, enhancing your understanding of machine learning and chemometrics.