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Thank you for the nice tool.
I have a data frame named Env.bank which is the environment data. A total of 26 columns were in this data frame, and the first column was named Sample_ID.
Then I ran:
there was an error: **Error in qr.X(Q) : need larger value of 'ncol' as pivoting occurred**.
I searched for the reason in chatGPT. It commented that
"it might indicate a potential issue with the collinearity or structure of your data. This error can occur when the design matrix used to fit the model is not full rank."
I am confused. Because there were different results when I used the same data to execute. Did you meet the same case?
Would it be possible for you to help me?
The text was updated successfully, but these errors were encountered:
Thank you for the nice tool.
I have a data frame named Env.bank which is the environment data. A total of 26 columns were in this data frame, and the first column was named Sample_ID.
Then I ran:
Everything is OK.
But I want to use the while loop to delete the maximum vif value one by one. so I edited the Sample_ID as the rownames.
Then I ran the same command as above:
there was an error:
**Error in qr.X(Q) : need larger value of 'ncol' as pivoting occurred**
.I searched for the reason in chatGPT. It commented that
"it might indicate a potential issue with the collinearity or structure of your data. This error can occur when the design matrix used to fit the model is not full rank."
I am confused. Because there were different results when I used the same data to execute. Did you meet the same case?
Would it be possible for you to help me?
The text was updated successfully, but these errors were encountered: