How To Fix TRM_REGR_TOOL1007 - Degree of freedom cannot be zero; MSR computation is not possible

TRM_REGR_TOOL1007 - Overview

• Message type: E = Error

• Message class: TRM_REGR_TOOL1 - Messages for Regression Tool

• Message number: 007

• Message text: Degree of freedom cannot be zero; MSR computation is not possible

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.

TRM_REGR_TOOL1007 - Details

• The SAP error message TRM_REGR_TOOL1007 indicates that there is an issue with the regression analysis in the SAP system, specifically related to the degrees of freedom in the model. This error typically arises when the model being analyzed does not have enough data points or independent variables to perform the regression analysis, leading to a situation where the degrees of freedom are zero.
  
  Cause:
  
  
  Insufficient Data Points: The most common cause is that there are not enough data points (observations) available for the regression analysis. For example, if you are trying to fit a model with multiple independent variables but have very few observations, the degrees of freedom can become zero.
  
  
  Collinearity: If the independent variables are perfectly collinear (i.e., one variable can be perfectly predicted from the others), it can also lead to a situation where the model cannot be estimated properly.
  
  
  Incorrect Model Specification: If the model is incorrectly specified, such as