Most rotation functions try to achieve maximal correlation between two Patterson functions by systematically rotating one and computing the overlap with the other. In contrast, the direct rotation function rotates a search model relative to the crystal unit cell and evaluates the linear correlation coefficient (Patterson correlation, PC) between squared normalized structure-factor amplitudes of the observed and calculated diffraction data. Structure factors are calculated from the rotated search model in a P1 unit cell identical to that of the target crystal. PC makes use of all self-Patterson vectors of the search model. A comparison of the direct rotation function, a real-space rotation function, and a fast rotation function suggests that the direct rotation function provides a considerable enhancement of the signal-to-noise ratio compared to other two. Combined with PC refinement, the direct rotation function was successful in solving multidomain macromolecular crystal structures.