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The use of principal components analysis (peA) for the study of evoked-response data may be complicated by variations from one trial to another in the latency of underlying brain events. Such variation can come from either random intra-and intersubject variability or from the effects of independent variables that are manipulated between conditions. The effect of such variability is investigated by simulation of these latency-varying events and by analysis of evoked responses in a behavioraldoi:10.3758/bf03203776 fatcat:6f6h5a7fqfd2zc5zn5irvsa4hu