| Main last modifications | Version |
| Clustering & Regression Trees revisited | 1.4.35 |
| Rule Induction Method | 1.4.34 |
| Logistic Regression Diagnostics | 1.4.33 |
| Support Vector Regression | 1.4.31 |
| Fast Memory Manager | 1.4.30 |
| Cost sensitive learning | 1.4.29 |
| Upgrade of clustering components | 1.4.28 |
| Nonparametric tests for homogeneity | 1.4.27 |
| Parametric tests for homogeneity | 1.4.26 |
| Partial and semi-partial correlation | 1.4.25 |
| Univariate Outlier Detection | 1.4.24 |
| PLS Discriminant Analysis | 1.4.23 |
| Some minor improvements | 1.4.22 |
| Variable selection for logistic regression | 1.4.21 |
| Internal improvements and libraries update | 1.4.20 |
| Measures of association for ordinal variables | 1.4.19 |
| Measures of association for nominal variables | 1.4.18 |
| Outlier Detection in Regression | 1.4.17 |
| Variable Clustering (VARCLUS) components | 1.4.16 |
| Correspondence Analysis | 1.4.15 |
| Improving "Factorial Analysis" reports (PCA and MCA) | 1.4.14 |
| Stepwise Discriminant Analysis | 1.4.13 |
| Add-on for Open Office Calc (OOoCalc) spreadsheet | 1.4.12 |
| TANAGRA.XLA add-in for EXCEL spreadsheet | 1.4.11 |
| Breiman's Random Forest for Supervised Learning | 1.4.9 |
| New feature -- Saving/Loading sub-diagram | 1.4.8 |
| (Predictive) Clustering Trees | 1.4.6 |
| ORANGE - TANAGRA - WEKA comparison (see tutorials) | - |
| Multi-class SVM (C-SVC) from LIBSVM 2.8 library | 1.4.2 |
| Partial Least Squares (PLS) Regression | 1.4.1 |
| Canonical Discriminant Analysis | 1.3.5 |
| Nonparametric Statistics Components | 1.3.1 |
| Scoring - Lift and Roc Curves | 1.2.1 |
| Breiman's et al. Classification Tree | 1.1.1 |
