Methods of regression commonality analysis are generalized for use in canonical correlation analysis. An actual data set (involving educators' attitudes toward death and age, locus of control, religion, and occupational role in working with terminally ill children) is employed to illustrate the extension. The method can be applied with respect to each canonical function in an analysis to determine the proportion of explanatory power of a variable set which is unique, as well as the proportion which is shared with or common to other variables also. (Author/GDC)