| nda-package | Package of Generalized Network-based Dimensionality Reduction and Analyses |
| biplot.nda | Biplot NDA Scores and Loadings |
| COVID19_2020 | COVID-19 case data for 138 countries and 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 University Ranking 2020 with 1,176 universities and 42 indicators |
| data_gen | Generate Structured NDA Example Data |
| dCor | Distance-Correlation Matrix |
| dCov | Distance-Covariance Matrix |
| fitted.ndrlm | NDRLM Fitted Values |
| fs.dimred | Loading-Based Feature Selection |
| fs.KMO | KMO-Based Feature Selection |
| GOVDB2020 | Governmental and economic data for 138 countries and 2,161 variables |
| I40_2020 | NUTS2 regional Industry 4.0 readiness data with 414 observations and 101 variables |
| nda | Package of Generalized Network-based Dimensionality Reduction and Analyses |
| ndr | Generalized Network-Based Dimensionality Reduction and Analysis |
| ndrlm | Network-Based Dimensionality Reduction and Regression |
| normalize | Fast Min-Max Normalization |
| pdCor | Partial Distance-Correlation Matrix |
| plot.nda | Plot an NDA Association Network |
| plot.ndrlm | Plot an NDRLM Path Network |
| predict.nda | Predict NDA Scores |
| predict.ndrlm | Predict from an NDRLM Model |
| print.nda | Print an NDA Model |
| print.ndrlm | Print an NDRLM Model |
| residuals.ndrlm | NDRLM Residuals |
| spdCor | Semipartial Distance-Correlation Matrix |
| summary.nda | Summarize an NDA Model |
| summary.ndrlm | Summarize an NDRLM Model |