ANOVA–simultaneous component analysis

ANOVA-simultaneous component analysis (ASCA) is a statistical method that combines analysis of variance (ANOVA) with principal component analysis (PCA) for the analysis of high-dimensional data, particularly in the context of multivariate datasets. ### Key Features of ASCA: 1. **Purpose**: ASCA aims to identify and visualize the differences between groups while reducing the complexity of the data.