| biplot.nda | Biplot function for Network-based Dimensionality Reduction and Analysis (NDA) |
| COVID19_2020 | Covid'19 of countries (2020), where the data frame has 138 observations of 18 variables. |
| CrimesUSA1990.X | Crimes in USA cities in 1990. Independent variables (X) |
| CrimesUSA1990.Y | Crimes in USA cities in 1990. Dependent variable (Y) |
| CWTS_2020 | CWTS Leiden's 2020 dataset, where the data frame has 1176 observations of 42 variables. |
| data_gen | Generate random block matrix for NDA |
| dCor | Calculating distance correlation of two vectors or columns of a matrix |
| GOVDB2020 | Governmental and economic data of countries (2020), where the data frame has 138 observations of 2161 variables. |
| I40_2020 | NUTS2 regional development data (2020), where the data frame has 414 observations of 101 variables. |
| nda | Package of Network-based Dimensionality Reduction and Analyses |
| ndr | Network-based Dimensionality Reduction and Analysis (NDA) |
| plot.nda | Plot function for Network-based Dimensionality Reduction and Analysis (NDA) |
| summary.nda | Summary function of Network-based Dimensionality Reduction and Analysis (NDA) |