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The least-squares refinement of macromolecular structures is characterized by a low ratio of observed data to refined parameters. Efforts have been made to compensate for this problem by incorporating subsidiary restraints into the observational equations. In this paper, a method is proposed and examples given for the introduction of additional observations into a least- squares refinement in the form of experimental phase information.
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