During recent years, with the advent of research teams and the development of electronic equipment, it has become possible to obtain a wide variety of responses from several systems in a group of subjects. Studies have been designed which permit a number of variables to be measured for a number of individuals under a number of different experimental conditions. Although it is not difficult to assess changes in any particular system, e.g., from before to after given experimental events, the important question of the pattern of relationship among several variables as each varies over time does not lend itself to simple analysis. Novel methods for combining such data have been suggested by Ax1 and Lacey9; other investigators, for example Berger,2 have used the more standard factor analytic approach for the study of the interrelations between variables. The study to be reported here is of this type,