ance matrices of each of the components. This way, one could specify the components to be deterministic instead of stochastic. In the multivariate case, one could impose rank restrictions on the variance - covariance matrices such that commonalities in the components are estimated, like common levels, common slopes, etc.</p>
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<div class="section level2">
<h2 id="fitting-procedure">Fitting Procedure<a class="anchor" aria-label="anchor" href="#fitting-procedure"></a>
</h2>
<p>The package employs a univa