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The factorial co-heritabilities can be estimated as shown below (shortened output). Note that for the first genetic factor in a Cholesky model, the factorial co-heritability is always **one**, as per definition, this factor explains the entire genetic variation of the trait. Note that `Vi` is the estimated explained trait variance by a factor and corresponds to the squared path coefficient.
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The factorial co-heritabilities can be estimated as shown below (shortened output). Note that for the first genetic factor in a Cholesky model, the factorial co-heritability is always **one**, as per definition, this factor explains the entire genetic variation of the trait. Note that `Vi` is the estimated explained trait variance by a factor and corresponds to the squared path coefficient.
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```{r eval=FALSE}
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> gsem.fcoher(fit.large)
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> gsem.fcoher(fit.large)$fcoher.model.out[,c(1,7:10)]
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... | ... | |