Multi-way Analysis: Applications In The | Chemica...

Identifying and managing systematic noise or missing data. 4. Key Chemical Applications

A more flexible model that allows for interactions between components of different modes. Multi-way Analysis: Applications in the Chemica...

Multi-way analysis is the exploratory analysis of datasets organized in three or more dimensions (e.g., samples × variables × conditions). Unlike traditional bilinear methods, these models preserve the multidimensional structure of the data, allowing for better noise handling and more interpretable results. 2. Core Models and Theory Identifying and managing systematic noise or missing data