Multi-way analysis refers to statistical techniques used for analyzing data with more than two dimensions, often employed in fields like chemometrics, psychometrics, and environmental science. These methods allow for the decomposition and interpretation of complex datasets, enabling the extraction of meaningful patterns and relationships from multi-dimensional data structures.