| Kira-package | Machine learning and data mining. |
| brute.force | Brute force method for variable selection. |
| elbow | Elbow method to determine the optimal number of clusters. |
| hierarchical | Hierarchical unsupervised classification. |
| kmeans | kmeans unsupervised classification. |
| knn | k-nearest neighbor (kNN) supervised classification method |
| lda | Linear discriminant analysis (LDA). |
| plot_curve | Graphics of the results of the classification process |
| qda | Quadratic discriminant analysis (QDA). |
| regression | Linear regression supervised classification method |
| results | Results of the classification process |
| silhouette | Silhouette method to determine the optimal number of clusters. |
| vote | Performs the supervised classification vote method. |