Mixed models are statistical frameworks that accommodate hierarchical or clustered data by modelling both fixed effects, which represent average relationships across all observations, and random ...

Principal component analysis is a versatile statistical method for reducing a cases-by-variables data table to its essential features, called principal components. Principal components are a few ...