Abstract
Data may sometimes be described by a linear model with fewer terms if a transformation is applied. For example, in a factorial design, the need for certain interaction terms may be eliminated by transformation. If attention is restricted to all monotome transformation, it is possible and perhaps useful to find the monotome transformation which minimizes the residual sum of squares after removing the effects explained by the model. Several sets of data from the statistical literature are analysed this way.