To predict 8 test values using 12 other test values, you can use a machine learning model. First, organize your data into a suitable format, with the 12 test values as features and the 8 test values as targets. Split your data into training and testing sets. Train a regression model, such as linear regression, decision tree, or a more complex model like a neural network, on the training set. Evaluate the model's performance on the testing set to ensure it generalizes well. To find a relation between parameters, perform exploratory data analysis. Use statistical methods like correlation analysis to identify relationships between variables. Visualize the data using scatter plots, heatmaps, or pair plots to observe patterns. Consider using dimensionality reduction techniques like PCA to understand the underlying structure of the data. Finally, validate your findings with domain knowledge or further statistical testing.