Eigenvalues (also called characteristic values or latent roots) are the variances of the principal components. Minitab calculates eigenvalues when you perform a principal components analysis.
For Factor Analysis, Minitab only calculates eigenvalues when you choose principal components as the method of extraction.
To obtain eigenvalues using only a correlation matrix or covariance matrix, use Factor Analysis instead of Principal Components Analysis. Suppose the covariance matrix is in columns C1-C3:
In the output, the eigenvalues are under Variance (in Factor Analysis, the eigenvalues are the variances of the principal components).
You can use either Factor Analysis or Eigen Analysis to obtain the eigenvalues.
Suppose your variables are in columns C1-C5, and you want to store the eigenvalues in column C6: