What is the default cross-validation for OPLS-DA plots if sample sizes are less than 7?

I have a question regarding the default parameters for OPLS-DA plots, specifically for cross-validation. I saw in the MetaboAnalystR package that the default cross-validation for the opls function was 7-fold, and that the number of samples (rows in ‘x’) has to be at least more than or equal to the cross-validation number.

In my dataset, I have 3 samples per treatment group, so a total of 6 samples. I was able to generate an OPLS-DA plot after setting the cross-validation to 6. My question is this – what does the web app version do? Does it default to the maximum number of rows (i.e. samples)? I have been able to run my data through the web application and generated the same OPLS results, but I was curious about these settings in the web app results and wanted to be sure.

Many thanks in advance!

This no much meaning for CV or permutation in such sample size (3 vs 3) - you cannot trust or use such number