The alternating least squares PARAFAC algorithm is a useful tool for r
esolving trilinear three-way data arrays. Occasionally, however, it be
comes bogged down for many iterations in the vicinity of a poor qualit
y resolution before moving on to a much superior optimum fit. We inves
tigate this behavior in a simulation study and suggest ways of overcom
ing the obstacles it presents.