Cochrane-Orcutt procedure

Cochrane-Orcutt procedure to resolve auto-correlated residuals in SWR models.

Usage

cochrane_orcutt(model, ts_input, ts_output, ar = 1, ...)

Arguments

model

an SWR model

ts_input

a vector or ts object containing the input time series

ts_output

a vector or ts object (on the same time scale as ts_input) containing the target time series

ar

number of autoregressive lags

...

parameters for re-training the model using trainSWR

Details

If an SWR model has auto-correlated residuals, the Cochrane-Orcutt procedure can be used to transform the data, such that auto-correlations are removed. Afterwards, the SWR model is retrained on the transformed data. For details, see (Schrunner et al. 2023) .