I am trying to fit a sPLS model to my data (regression mode). I use `spls`

with a larger number of components and then I use `perf`

to select the best parameter. It seems that 1 component is sufficient (judging from the Q2 values). Now I should re-fit the model using this number: if I do so, and I try to use `plotVar`

, I get the following message error:

```
Error: Each element of 'comp' must be positive <= 1.
3.
stop("Each element of 'comp' must be positive <= ", min(object$ncomp), ".", call. = FALSE)
2.
mixOmics::plotVar(pls.results, legend = TRUE, title = "Variable plot") at multivariate_analysis.R#166
1.
plot.pls(res.spls.simple, perf.spls.simple)
```

What am I doing wrong?

Is there a way to automatically re-fit the model using the best value of `ncomp`

? Moreover, if I want to compute for instance the Q2 or any other metric, why can I do that only on the results of `perf`

and not `spls`

? Thanks.