| nda-package | Package of Generalized Network-based Dimensionality Reduction and Analyses | 
| biplot.nda | Biplot function for Generalized Network-based Dimensionality Reduction and Analysis (GNDA) | 
| COVID19_2020 | Covid'19 case datesets 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 University Ranking 2020 for all scientific fields, within the period of 2016-2019. 1176 observations (i.e., universities), and 42 variables (i.e., indicators). | 
| data_gen | Generate random block matrix for GNDA | 
| dCor | Calculating distance correlation of two vectors or columns of a matrix | 
| dCov | Calculating distance covariance of two vectors or columns of a matrix | 
| fitted.ndrlm | Calculation of fitted values of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM) | 
| fs.dimred | Feature selection for PCA, FA, and (G)NDA | 
| fs.KMO | Feature selection for KMO | 
| 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) of I4.0 readiness, where the data frame has 414 observations of 101 variables. | 
| nda | Package of Generalized Network-based Dimensionality Reduction and Analyses | 
| ndr | Genearlized Network-based Dimensionality Reduction and Analysis (GNDA) | 
| ndrlm | Genearlized Network-based Dimensionality Reduction and Regression (GNDR) | 
| normalize | Min-max normalization | 
| pdCor | Calculating partial distance correlation of columns of a matrix | 
| plot.nda | Plot function for Generalized Network-based Dimensionality Reduction and Analysis (GNDA) | 
| plot.ndrlm | Plot function for Generalized Network-based Dimensionality Reduction and Regression (GNDR) | 
| predict.nda | Calculation of predicted values of Generalized Network-based Dimensionality Reduction and Analysis (GNDA) | 
| predict.ndrlm | Calculation of predicted values of Generalized Network-based Dimensionality Reduction and Regression with Linear Models (NDRLM) | 
| print.nda | Print function of Generalized Network-based Dimensionality Reduction and Analysis (GNDA) | 
| print.ndrlm | Print summary of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM) | 
| residuals.ndrlm | Calculation of residual values of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM) | 
| spdCor | Calculating semi-partial distance correlation of columns of a matrix | 
| summary.nda | Summary function of Generalized Network-based Dimensionality Reduction and Analysis (GNDA) | 
| summary.ndrlm | Summary function of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM) |