MATLAB Regression Simulation Code

I have several Excel workbooks that store both time series and numerical data for my thesis project. A portion of the sheets is already complete, but many rows still lack values that must be generated or predicted. I want a clean, well-documented MATLAB script (or function set) that will:

• import every file automatically
• fit a Linear regression model to the completed portions
• respect the Regularization constraints and Equality constraints that I will specify (they will be passed in as parameters or read from a separate config)
• simulate or predict the missing values, then write the augmented data back to new Excel sheets

Please structure the code so that key items—file paths, chosen coefficients, constraint settings, and any cross-validation options—are easy for me to tweak later. Clear inline comments and a brief README that explains usage, required toolboxes, and how each section of the script ties into the regression workflow will be enough for documentation.

The solution is considered complete when the script runs without error on my dataset, fills the gaps with the predicted values, and outputs standard fit diagnostics (R², residual plots, etc.) so I can include them in my thesis report.