Darhub is a SAS data step program that calculates Darlington’s (1990) F statistic for testing the significance of difference between the obtained squared multiple correlation coefficient, R2, and the expected value, or expected long-run mean, of R2 under the null hypothesis that ρ = 0. Darhub also computes Huberty’s (1994) adjusted R2 index and Huberty’s effect size measure for multiple regression studies. Both of these indices take into account the expected value of R2.
Hittner, J.B. (2016). On correctly adjusting the squared multiple correlation coefficient in linear regression: Effect size estimation and significance testing with application to substance abuse research. Journal of Drug Abuse, 2(2), 1-4.