How To Fix /SAPAPO/MLR_IN_UNIV002 - Error in MLR calculation; effect of causal variables not considered

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/MLR_IN_UNIV -

• Message number: 002

• Message text: Error in MLR calculation; effect of causal variables not considered

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/MLR_IN_UNIV002 - Error in MLR calculation; effect of causal variables not considered ?

  The SAP error message /SAPAPO/MLR_IN_UNIV002 indicates that there is an issue with the Multiple Linear Regression (MLR) calculation in the SAP Advanced Planning and Optimization (APO) module. Specifically, this error suggests that the effect of causal variables has not been considered in the MLR calculation, which can lead to inaccurate forecasting or planning results.
  Cause:
  
  Missing Causal Variables: The error typically arises when the MLR model is set up without including the necessary causal variables that are supposed to influence the dependent variable.
  Incorrect Model Configuration: The model may not be configured correctly, leading to the exclusion of important variables.
  Data Issues: There may be issues with the data itself, such as missing values or incorrect data types that prevent the model from recognizing the causal variables.
  Model Type: The model type selected may not be appropriate for the data being analyzed.
  
  Solution:
  
  
  Review Model Configuration:
  
  Check the configuration of the MLR model to ensure that all relevant causal variables are included.
  Ensure that the model is set up correctly to account for these variables.
  
  
  
  Data Validation:
  
  Validate the data being used for the MLR calculation. Ensure that there are no missing values or incorrect data types.
  Check the historical data for the causal variables to ensure they are populated correctly.
  
  
  
  Adjust Model Settings:
  
  If necessary, adjust the settings of the MLR model to include the causal variables. This may involve modifying the model definition in the APO system.
  
  
  
  Re-run the Calculation:
  
  After making the necessary adjustments, re-run the MLR calculation to see if the error persists.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or help resources for guidance on setting up MLR models and including causal variables.
  
  
  
  Seek Expert Help:
  
  If the issue continues, consider reaching out to SAP support or consulting with an SAP APO expert who can provide more tailored assistance.
  
  
  
  Related Information:
  
  SAP APO: Advanced Planning and Optimization is a component of SAP that helps organizations with supply chain planning and optimization.
  Multiple Linear Regression (MLR): A statistical technique used to model the relationship between a dependent variable and multiple independent variables (causal variables).
  Causal Variables: These are independent variables that are believed to have an effect on the dependent variable being forecasted.
  
  By addressing the configuration and data issues related to the MLR model, you should be able to resolve the error and improve the accuracy of your forecasting in SAP APO.