First we give the models used for ordinary least squares (OLS) regression. Then, we explain the use of mixture models for regression. For each method, we consider both additive (1-parameter of 1-degree-of-freedom “1 df”) and non-additive (2-parameter, 2 df) regression models for analysis. In what follows, let yi denote the quantitative trait value for individual i at a SNP.
