Furthermore, there is a learning curve. The toolbox assumes you understand latent variables. If you don’t know the difference between a score plot and a loading plot, the GUI can be intimidating. But for the analyst who does, it is liberating.
: Analyze data without writing a single line of code. matlab pls toolbox
: Built-in tools for normalization, smoothing, and baseline correction. Furthermore, there is a learning curve
plotcv(model); % Or manually view: rmscv = model.rmsecv; [best_rmscv, best_lvs] = min(rmscv); fprintf('Optimal LVs: %d', best_lvs); and baseline correction. plotcv(model)
This command: