LR

This operation calculates the linear regression between the dependent and independent columns in the statistics data. It expects to find a variable called ∑DAT which has a set of statistics values stored in a real matrix. Each row in the real matrix represents a single set of samples. Each column contains one of the set of values associated with a single sample. It also expects to find a variable called ∑PAR which should be a list of four real values. The first two real values in the list is the column number of the independent and dependent columns. If the ∑PAR variable does not exist, then the operation assumes it should use column 1 and column 2 from the statistics data.

Real₁ is the intercept and Real₂ is the slope of the line calculated from the linear regression of the data. This information is also stored in the ∑PAR variable in the third and fourth values respectively in the list. These values are then used by the PREDV operation.