Sample-wise ordinary least squares regressions
x (Model | str) – Predictor or predictors. A Model to regress over cases, or a dimension name to regress against values of one of the
NDVar’s dimensions. A Model with multiple
Var``s can be supplied as argument list of ``Var.
name (str) – Name of the output NDVar (default is the current name).
beta – Per sample beta weights. The case dimension reflects the predictor variables in the same order as the Model’s effects.
- Return type
The intercept is generated internally, and betas for the intercept are not returned. If you need access to more details of the results, consider using
T-values for regression coefficients