Multivariate additions (Minitab Stat › Multivariate): Cluster Variables (hierarchical clustering of variables on correlation distance), Multiple Correspondence Analysis (indicator / Burt matrix), Item Analysis (Cronbach's α with item-total statistics) and the promax oblique rotation for factor loadings.
Distance measure: 1 − r (default) or 1 − |r|.
Optional
Cluster membership for nClusters (when requested).
nClusters
Merge steps: [i, j, height] with negative indices for leaves (−1−leaf).
Similarity levels (100·(1 − distance)) at each merge.
Multivariate additions (Minitab Stat › Multivariate): Cluster Variables (hierarchical clustering of variables on correlation distance), Multiple Correspondence Analysis (indicator / Burt matrix), Item Analysis (Cronbach's α with item-total statistics) and the promax oblique rotation for factor loadings.