Next Eigenvalue Sufficiency Test
Bartlett Sphericity Test
Compute covariance or correlation matrix with treatments for clusters ...
Full Information Maximum Likelihood (FIML) correlation or covariance m...
Empirical Kaiser Criterion (EKC)
Regularized Factor Analysis
Simplify the the generation from a multivariate normal distributions.
Ledermann bound.
Print Loadings in NEST
Minimum average partial correlation (MAP)
A correlation matrix from Meek-Bouchard.
Next Eigenvalue Sufficiency Test (NEST)
Parallel analysis
Plot results of Next Eigenvalues Sufficiency Test (NEST)
Print results of NEST
Remove unique variables
Split-Half Eigenvector Matching (SHEM)
Summary results of NEST
Probability of unique variables
Determine the number of dimensions to retain in exploratory factor analysis. The main function, nest(), returns the solution and the plot(nest()) returns a plot.