scale=arg (default=“normload”)

Diagonal matrix scaling of the loadings and the scores: normalize loadings (“normload”), normalize scores (“normscores”), symmetric weighting (“symmetric”), user-specified (arg=number).

cpnorm

Compute the normalization for the score so that cross-products match the target (by default, EViews chooses a normalization scale so that the moments of the scores match the target).

eigval=vec_name

Specify name of vector to hold the saved the eigenvalues in workfile.

eigvec=mat_name

Specify name of matrix to hold the save the eigenvectors in workfile.

prompt

Force the dialog to appear from within a program.

cov=arg (default=“corr”)

Covariance calculation method: ordinary (Pearson product moment) covariance (“cov”), ordinary correlation (“corr”), Spearman rank covariance (“rcov”), Spearman rank correlation (“rcorr”), uncentered ordinary correlation (“ucorr”). Note that Kendall’s tau measures are not valid methods.

wgt=name (optional)

Name of vector containing weights. The number of rows of the weight vector should match the number of rows in the original matrix.

wgtmethod=arg (default = “sstdev”

Weighting method: frequency (“freq”), inverse of variances (“var”), inverse of standard deviation (“stdev”), scaled inverse of variances (“svar”), scaled inverse of standard deviations (“sstdev”).

Only applicable for ordinary (Pearson) calculations where “weights=” is specified. Weights for rank correlation and Kendall’s tau calculations are always frequency weights.

pairwise

Compute using pairwise deletion of observations with missing cases (pairwise samples).

df

Compute covariances with a degree-of-freedom correction accounting for the mean (for centered specifications) and any partial conditioning variables.