Regression Class

The Regression class is an abstract class for user defined classes that can be used in the regression model. The class linear_regression implemented in opus_core computes outcome $Y$ as a linear combination of given data $X$ and coefficients $\beta$: $y_n = \sum_{j=1}^J \beta_j x_{nj}$. Here, $J$ denotes the number of variables entering the regression and $n$ is an index for observations. The run() method takes a 2-d array of data (of size number of observations $\times$ number of variables) and a 1-d array of coefficients as arguments and returns a 1-d array of outcome.