Explore new developments in chemometric preprocessing through a 55-minute webinar featuring Federico Marini. Delve into strategies for reducing unwanted variability in experimental data, including a novel approach that treats differently preprocessed spectra as multi-block data. Learn about Variable Sorting for Normalization, an alternative to traditional data normalization techniques. Examine ensemble techniques, multiblock analysis, and various PLS methods including sequential, orthogonalized, and parallel approaches. Gain insights into crossvalidation procedures and engage with a Q&A session covering topics such as the optimal order of preprocessing steps.