I have input and output experimental data and I want to use “InputOpts.Inference.Data” to create my input in order to create PCE. However, I get many warnings like this one when I want to create input:
"Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.658442e-21.
Warning: Cannot compute a cov matrix – the computed Hessian is not positive definite. "
Can you please help me to find out what is the problem. I have attached my input parameters as well. I have 32 parameters in my model with 13000 FEM experiments.
Parameters.zip (3.0 MB)
Also one more question: Some of my input parameters have exactly the same mean and standard deviation. Can I define them as separate input parameters and generate random values for each of them for creating PCE (like what I have done right now in the uploaded file)? Are these input parameters “dependent” because they have the same mean and standard deviation? If yes, what should I do in that regard?
I have lots of experimental points and still, I get a high LOO error for my PCE (I have tried different options of uqlab PCE creation). I am trying to find out the problem and I thought maybe the problem is related to my inputs. This is why I am asking the questions above. Any help is greatly appreciated.