Hello

I am currently building with openturns chaos polynomial metamodels

I have 20 input parameters

See screenshot joined for particular message I see during metamodel building

I build metamodel with a sample of 200 computations (LHS)

I compute predictivity factor Q2 with test sample of 20 other computations

I obtain a Q2 factor very near of 1 so it seems good

I build my metamodel with basic instructions :

```
chaosalgo = ot.FunctionalChaosAlgorithm(input_sample, output_rsample[:,outputIndex])
chaosalgo.run()
chaosalgo_result = chaosalgo.getResult()
chaosalgo_metamodel = chaosalgo_result.getMetaModel()
```

thanks in advance for your advises