How To Fix /SAPAPO/MA721 - R**2 is smaller than the predefined lower limit

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/MA -

• Message number: 721

• Message text: R**2 is smaller than the predefined lower limit

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/MA721 - R**2 is smaller than the predefined lower limit ?

  The SAP error message /SAPAPO/MA721 R**2 is smaller than the predefined lower limit typically occurs in the context of SAP Advanced Planning and Optimization (APO) when dealing with statistical forecasting or planning functions. This error indicates that the calculated R-squared (R²) value for a statistical model is below a predefined threshold, which suggests that the model may not be a good fit for the data.
  Cause:
  
  Poor Data Quality: The underlying data used for forecasting may have issues such as missing values, outliers, or insufficient historical data.
  Inappropriate Model Selection: The statistical model being used may not be suitable for the data characteristics (e.g., linear regression may not fit well with non-linear data).
  Insufficient Data Points: There may not be enough data points to generate a reliable statistical model.
  Seasonality or Trend Issues: If the data has strong seasonal patterns or trends that are not accounted for in the model, it can lead to a low R² value.
  
  Solution:
  
  Data Review: Check the quality of the data being used for forecasting. Look for missing values, outliers, and ensure that the data is complete and accurate.
  Model Adjustment: Consider using a different statistical model that may better fit the data. For example, if the data is non-linear, explore non-linear regression models or other forecasting techniques.
  Increase Data Points: If possible, gather more historical data to improve the reliability of the statistical model.
  Adjust Parameters: Review and adjust the parameters of the forecasting model to see if it improves the R² value.
  Consult Documentation: Refer to SAP documentation or help resources for specific guidelines on the statistical models and their expected performance metrics.
  
  Related Information:
  
  R-squared (R²): This is a statistical measure that represents the proportion of variance for a dependent variable that's explained by an independent variable or variables in a regression model. An R² value closer to 1 indicates a better fit.
  SAP APO: This is a component of SAP that provides advanced planning capabilities, including demand planning, supply network planning, and production planning.
  Statistical Forecasting: In SAP APO, statistical forecasting is used to predict future demand based on historical data. The choice of model and its parameters can significantly impact the forecasting accuracy.
  
  If the issue persists after trying the above solutions, it may be beneficial to consult with an SAP expert or support team for further assistance.