  We propose a method of removal of design points that cannot support any
E-optimal experimental design of a linear regression model with uncorrelated
observations. The proposed method can be used to reduce the size of some large
E-optimal design problems such that they can be efficiently solved by
semidefinite programming. This paper complements the results of Pronzato
[Pronzato, L., 2013. A delimitation of the support of optimal designs for
Kiefer's $\phi_p$-class of criteria. Statistics & Probability Letters 83,
2721--2728], who studied the same problem for analytically simpler criteria of
design optimality.
