You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
An upgrade is presented of a MATLAB graphical user interface toolbox for implementing third-order/four-way multivariate calibration models. The new Multivariate Calibration 3 (MVC3_GUI) incorporates new models and features that make it a very versatile tool for four-way data processing. In addition to the quadrilinear decomposition (QLD) and latent structure models based on partial least-squares regression and residual trilinearization, included in the earlier software version, non-QLD models are now available. The latter include extended multivariate curve resolution-alternating least-squares (MCR-ALS), augmented parallel factor analysis (Augmented PARAFAC) and PARAFAC2. MVC3_GUI accepts a variety of ASCII data for input. Appropriate working sensor regions in the different data modes can be selected. Model development and its subsequent application to unknown samples are straightforward from the interface. Prediction results are provided along with analytical figures of merit and standard concentration errors, as calculated by modern concepts of uncertainty propagation. Different examples are provided.
Cite As
Alejandro Olivieri (2026). MVC3: GUI for third-order multivariate calibration (https://www.mathworks.com/matlabcentral/fileexchange/135071-mvc3-gui-for-third-order-multivariate-calibration), MATLAB Central File Exchange. Retrieved .
Mazivila, Sarmento J., et al. “MVC3_GUI: A MATLAB Graphical User Interface for Third-Order Multivariate Calibration. An Upgrade Including New Multi-Way Models.” Chemometrics and Intelligent Laboratory Systems, vol. 173, Elsevier BV, Feb. 2018, pp. 21–29, doi:10.1016/j.chemolab.2017.12.012.
General Information
- Version 1.0.2 (10.8 MB)
MATLAB Release Compatibility
- Compatible with R2014b to R2021b
Platform Compatibility
- Windows
- macOS
- Linux
