Essentially a form of targeted dimension reduction, an envelope is a construct for increasing efficiency of multivariate methods without altering traditional goals, sometimes producing gains equivalent to increasing the sample size many times over. Recognizing that the data may contain unanticipated variation that is effectively immaterial to estimation, an envelope is a subspace that envelops the material variation and thereby reduces estimative and predictive error.
