If you can derive your sample size from the df of the Wald test, the number of independeent variables from the regression coefficients, The effect size will be tantamount to the Wald F^2, then you can compute the power of the model from that. Remember that your R^2 = f^2/(1 + f^2). So a small effect size = .02, a medium=.15, and a large = .35. (See Jacob Cohen, Power Analysis for the Behavioral Sciences, 2nd ed., pp.410ff.
If you can derive your sample size from the df of the Wald test, the number of independeent variables from the regression coefficients, The effect size will be tantamount to the Wald F^2, then you can compute the power of the model from that. Remember that your R^2 = f^2/(1 + f^2). So a small effect size = .02, a medium=.15, and a large = .35. (See Jacob Cohen, Power Analysis for the Behavioral Sciences, 2nd ed., pp.410ff.