Non-linear regression involves the following steps:
1. Model Selection: Choose an appropriate non-linear model that fits the catalytic process. 2. Parameter Estimation: Use methods like least squares, maximum likelihood, or Bayesian inference to estimate the model parameters. 3. Software Tools: Utilize software like MATLAB, Python (SciPy), or R for computational analysis. 4. Validation: Validate the model using statistical measures such as R-squared, residual plots, and cross-validation techniques.
