pbExplore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guidebp pArising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist.p piMultiblock Data Fusion in Statistics and Machine Learning Applications in the Natural and Life Sciencesi is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems.p pMany of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers