It was expected that a statistical relationship exists between the HOMO, LUMO, and Eg energies of the co-dimers and the monomers which compose them. Operating under this assumption, ordinary least squares (OLS) regressions were used to develop predictive models for the co-dimers' HOMO, LUMO and Eg energies from their respective monomer building blocks. The OLS regression models were constructed using a minimal number of model parameters to maximize the correlation between the dependent and independent variables (R 2 ). The pvalues for the independent variables in each model were minimized (p-value < 0.05) to ensure that the contribution of