eelbrain.NDVar.ols

NDVar.ols(x, name=None)

Sample-wise ordinary least squares regressions

Parameters

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).

Returns

beta – Per sample beta weights. The case dimension reflects the predictor variables in the same order as the Model’s effects.

Return type

NDVar

Notes

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 testnd.LM.