R square is a sample statistic that estimates the amount of variation from fixed effects. It is calculated from the response Y as the model sum of squares divided by the corrected total sum of squares. This statistic only works if you perform ordinary least squares (OLS) regression. OLS assumes that all the error is in Y. Orthogonal regression in JMP allows for the case with errors in X and Y.

Learn it once, use it forever!