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?
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?