makepcomp |
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 series containing weights. |
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). |
partial=arg | Compute partial covariances conditioning on the list of series specified in arg. |
df | Compute covariances with a degree-of-freedom correction accounting for the mean (for centered specifications) and any partial conditioning variables. The default behavior in these cases is to perform no adjustment (e.g. – compute sample covariance dividing by rather than ). |