Inner envelopes: Efficient estimation in multivariate linear regression

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How researchers see this paper

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Envelopes and partial least squares regression (2013, result): “As shown in past studies (Cook et al., 2010; Su and Cook, 2011, 2012, 2013) envelope methodology has the potential to achieve substantial gains in efficiency in a variety of multivariate problems and thus also has the potential to become wonted methodology.”
Foundations for Envelope Models and Methods (2015, background): “Su and Cook (2013) adapted envelopes for the estimation of multivariate means with heteroscedastic errors, and Su and Cook (2012) introduced a different type of envelope construction, called inner envelopes, that can produce efficiency gains when envelopes offer no gains.”
Matrix variate regressions and envelope models (2016, background): “Recent developments of envelopes under other settings may be found in, for example, Su and Cook (2011, 2012), Cook et al. (2013) and Cook and Zhang (2015).”