Linear regression analysis The linear regression model is specified by activating variables in the data set as follows: Y is the regressand, X is a regressor, R is the residual variable (optional, must not be protected), P is the variable for predicted values (optional, not protected). For general rules of variable selection, see MASK and VARS. The following operations work on this basis: A = LINREG (OLS through correlations) B = REGDIAG (OLS by orthogonalization, regression diagnostics) C = MOVREG (Moving linear regression analysis) (by KV)D = ROBREG (Least Median of Squares regression analysis) (by Reino Siren)E = ESTIMATE (for non-linear models) U = Sucros for regression analysis (special applications) S = More information on statistical analysis

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