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How To Fix THM_CENTRAL705 - Min R^2 is greater than Max R^2


SAP Error Message - Details

  • Message type: E = Error

  • Message class: THM_CENTRAL - Central messages for E-HA

  • Message number: 705

  • Message text: Min R^2 is greater than Max R^2

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  • 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 THM_CENTRAL705 - Min R^2 is greater than Max R^2 ?

    The SAP error message "THM_CENTRAL705 Min R^2 is greater than Max R^2" typically occurs in the context of statistical analysis or modeling within SAP systems, particularly when dealing with regression analysis or similar statistical functions. This error indicates that there is a problem with the R-squared values being used in the analysis.

    Cause:

    1. Data Issues: The underlying data may have inconsistencies or errors that lead to incorrect calculations of the R-squared values.
    2. Model Specification: The model being used may be incorrectly specified, leading to unrealistic or contradictory R-squared values.
    3. Parameter Settings: The parameters for the analysis may have been set incorrectly, causing the minimum R-squared value to exceed the maximum R-squared value.
    4. Outliers: The presence of outliers in the dataset can skew the results and lead to erroneous R-squared calculations.

    Solution:

    1. Check Data Quality: Review the dataset for any inconsistencies, missing values, or outliers that could affect the analysis. Clean the data as necessary.
    2. Review Model Specification: Ensure that the model is correctly specified. This includes checking the variables included in the model and their relationships.
    3. Adjust Parameters: Revisit the parameters set for the analysis. Ensure that the minimum and maximum R-squared values are logically set and reflect the expected range based on the data.
    4. Run Diagnostics: Use diagnostic tools or functions within SAP to analyze the model and identify any issues that may be causing the error.
    5. Consult Documentation: Refer to SAP documentation or support resources for guidance on the specific statistical functions being used and any known issues or limitations.

    Related Information:

    • R-squared (R²): 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. It ranges from 0 to 1, where 0 indicates that the model does not explain any of the variability and 1 indicates that it explains all the variability.
    • SAP Support: If the issue persists after troubleshooting, consider reaching out to SAP support or consulting the SAP Community for additional insights and assistance.
    • Documentation: Review the relevant SAP Help documentation for the specific module or function you are using to understand the expected behavior and constraints related to R-squared values.

    By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.

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