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Message type: E = Error
Message class: /SAPAPO/MA -
Message number: 726
Message text: Durbin h ist too small
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/SAPAPO/MA726
- Durbin h ist too small ?The SAP error message
/SAPAPO/MA726 Durbin hist too small
typically occurs in the context of SAP Advanced Planning and Optimization (APO), particularly when dealing with statistical forecasting methods. This error indicates that the historical data used for the Durbin-Watson test (a statistical test used to detect the presence of autocorrelation in the residuals from a regression analysis) is insufficient or too small for the calculations to be performed.Cause:
- Insufficient Historical Data: The most common cause of this error is that the historical data for the product or location being analyzed is too limited. The Durbin-Watson test requires a certain amount of data points to provide reliable results.
- Data Gaps: There may be gaps in the historical data, such as missing values or periods with no sales, which can lead to an inadequate dataset for the analysis.
- Configuration Issues: Incorrect settings in the forecasting model or configuration may also lead to this error.
Solution:
- Increase Historical Data: Ensure that there is enough historical data available for the product/location. Ideally, you should have several periods of data (e.g., months or years) to perform the analysis effectively.
- Check for Data Gaps: Review the historical data for any missing values or gaps. Fill in missing data where possible or consider using a different product/location with more complete data.
- Adjust Forecasting Model: If the historical data cannot be increased, consider using a different forecasting model that does not rely on the Durbin-Watson test or is more suitable for smaller datasets.
- Review Configuration: Check the configuration settings in the forecasting model to ensure they are set up correctly. This may involve consulting with your SAP APO administrator or a functional consultant.
Related Information:
By addressing the underlying causes of the error, you can resolve the issue and ensure that your forecasting processes in SAP APO run smoothly.
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