A load model class specific to interpolations for flux estimation.

loadInterps use a variety of interpolation methods to connect predictions of y values (usually fluxes, concentrations, or residuals) over time.

Slots

fit

the interpolation model to be used.

MSE

numeric. The mean squared error, i.e., the variance of prediction errors, probably as estimated by leave-one-out cross validation.

See also

Other load.model.classes: loadComp-class, loadLm-class, loadModel-class, loadReg2-class