Test correlation matrices used in papers by Pedro R. Peres-Neto to test methods for assessing principal components analyses.
The format is: Two lists of 18 correlation matrices
Peres-Neto et al. (2005)
P.R. Peres-Neto, D.A. Jackson and K.M. Somers (2005). How many principal components? stopping rules for determining the number of non=trivial axes revisited. Computational Statistics and Data Analysis. 49: 974-997.