Change log

Change log version 1.66:
Faster algorithm for MLR/LDA
New metrics for discriminant analysis
Outlier detection for the test set
Improved outlier detection
Construction of central composite design from axial points
Fixed bugs

Change log version 1.65:
An option to select a randomized test set in the multivariate calibration has been added

Change log version 1.64:
Fixed bugs
Improvements in internal functions

Change log version 1.63:
Explainable R² has been changed to Adjusted R² in experimental designs
Graph improvements in mixture design surfaces
An option to plot measured x predicted in experimental designs has been added
Improvements in mixture design outputs

Change log version 1.62:
Correction in the calculation of p-value in mixture design models

Change log version 1.61:
Fixed bugs in Multivariate calibration

Change log version 1.6:
A tool for desirability function has been added in DoE module
A tool to plot variable importance for images in multivariate calibration has been added
A tool to plot Variable Importance in Projection (VIP) for PLS models has been added
An option to compute Error by Sum of Squares in DoE has been added
Classification success for each class in discriminant analysis has been added
An option of pretreatment by Standard Normal Variate (SNV) has been added
R²p has been changed to cR²p in multivariate calibration diagnostics
Improvements in DoE module
Improvements in PLS and PCR algorithms

Change log version 1.5:
Fixed bugs for graph label in Data Plot
Improved options for sample labels in PCA biplot
User guide available

Change log version 1.4:
Improved graphs for experimental design
Improved functions for Plackett-Burman design

Change log version 1.3:
New contour graphs for experimental design
Improved graphics  for experimental design
Fixed bugs in screen resolution

Change log version 1.2:
Fixed bugs in screen resolution
Full ANOVA table for experimental design models

Change log version 1.1:
Fixed bugs in Multivariate calibration
New validation parameters for calibration models