Figure 7.

STATIS analysis of the importance of tables, i.e., conditions of the re-normalized dataset. (A) Table weights and R_V coefficient allow assessing the influence of tables on the resulting compromise; the eigenvalues correspond to the variance captured by the principal components (B) The interstructure is the projection of the individual condition on the principal components (PC1 and PC2 on the left, PC1 and PC3 on the right) allowing characterization of the effects governing the separation of conditions.