This book presents a unique, thorough, and authoritative treatment of this relatively new and emerging approach to data analysis. Using carefully laid out examples and engaging applications, the book begins with a general overview of multiway analysis, including the types of problems it can address. Next, the process of setting up, carrying out, and evaluating multiway analyses is discussed along with commonly encountered issues, such as preprocessing, missing data, model and dimensionality selection, postprocessing, transformation, robustness, and stability issues.