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Message type: E = Error
Message class: RSAN_RT - Messages for Runtime Analysis
Message number: 318
Message text: Regression Equation: x0 = a0 + a1*x1 + a2*x2 + a3*x3 + ...
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RSAN_RT318
- Regression Equation: x0 = a0 + a1*x1 + a2*x2 + a3*x3 + ... ?The SAP error message RSAN_RT318 typically relates to issues encountered during the execution of regression analysis in SAP BW (Business Warehouse) or SAP Analytics. This error message indicates that there is a problem with the regression equation being processed, which is usually represented in the form of:
[ x_0 = a_0 + a_1 \cdot x_1 + a_2 \cdot x_2 + a_3 \cdot x_3 + \ldots ]
Causes of RSAN_RT318 Error
Data Quality Issues: The data being used for regression analysis may contain missing values, outliers, or incorrect data types that can lead to errors in the regression calculation.
Insufficient Data: There may not be enough data points to perform a reliable regression analysis. Regression analysis typically requires a minimum number of observations to produce valid results.
Model Specification Errors: The regression model may be incorrectly specified, such as including too many independent variables or not including necessary ones.
Multicollinearity: High correlation between independent variables can lead to instability in the regression coefficients, causing errors.
Configuration Issues: There may be issues with the configuration of the regression analysis settings in SAP BW.
Solutions to RSAN_RT318 Error
Data Cleaning: Review the dataset for missing values, outliers, and ensure that all data types are correct. Clean the data as necessary.
Increase Data Volume: If possible, increase the number of data points used in the regression analysis to ensure that the model has enough information to produce reliable results.
Review Model Specification: Check the regression model to ensure that it is correctly specified. Consider simplifying the model by reducing the number of independent variables or ensuring that all relevant variables are included.
Check for Multicollinearity: Use statistical tests (like Variance Inflation Factor - VIF) to check for multicollinearity among independent variables. If multicollinearity is present, consider removing or combining correlated variables.
Configuration Review: Review the settings and configurations in the SAP BW system for regression analysis. Ensure that all parameters are set correctly.
Consult Documentation: Refer to SAP documentation or support resources for specific guidance related to the version of SAP BW you are using.
Related Information
By addressing the potential causes and implementing the suggested solutions, you should be able to resolve the RSAN_RT318 error and successfully execute your regression analysis in SAP.
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RSAN_RT317
Mean values
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
RSAN_RT316
Too few data records:No. of regression coefficients < no. of data records
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
RSAN_RT319
Standardized (normed), bivariate correlation coefficients
What causes this issue? The bivariate correlation coefficients are standardized so that the total of the bivariate correlation coefficients xj-x0 is ...
RSAN_RT320
Norming and F test not possible. Standard error of x0 = 0
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
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