Covariate Assisted Principal Regression (CAPR) for multiple
covariance-matrix outcomes. The method identifies (principal) projection
directions that maximize the log-likelihood of a log-linear regression model
of the covariates. See Zhao et al. (2021), "Covariate Assisted Principal
Regression for Covariance Matrix Outcomes"