12.4.3 multivar computational parameters

fit additive (covariances | correlations) X12...

This statement specifies which covariances to be estimated and which to be fixed at 0. The order of values is the same as the `start additive covariances' statement with '1' indicating a covariance to be fit and '0' a covariance to be fixed.

Note that if trait 1 is correlated with trait 3, and so is trait 2 with trait 3, the correlation between 1 and 2 cannot be zero. So we have to be a bit careful in specifying the correlation structure.

fit residual (covariances | correlations) X12...

Similar statement for residual covariances.

set eigenvalues X1 X2...

Optional. This statement is used to provide predetermined eigenvalues of the G-matrix of observed individuals, with the number of values the same as the number of observed individuals.

input eigenvalue file eigenfile

Optional. If present, it overrides the `set eigenvalues' statements.

limit breeding iterations I

This statement specifies the maximum number of breeding--values iterations. The default number currently is 20.

set breeding convergence X

This statement specifies the convergence criterion for breeding--values iterations. The default number is currently is 1.0e-8.

limit EM iterations I

This statement specifies the number of EM iterations. The default number presently is 200. There is no option to specify convergence criterion. If convergence has not been achieved, the final estimates can be used as starting values to rerun the program.