COVID19_2020            Covid'19 case datesets of countries (2020),
                        where the data frame has 138 observations of 18
                        variables.
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).
CrimesUSA1990.X         Crimes in USA cities in 1990. Independent
                        variables (X)
CrimesUSA1990.Y         Crimes in USA cities in 1990. Dependent
                        variable (Y)
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.
biplot.nda              Biplot function for Generalized Network-based
                        Dimensionality Reduction and Analysis (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
data_gen                Generate random block matrix for GNDA
fs.KMO                  Feature selection for KMO
fs.dimred               Feature selection for PCA, FA, and (G)NDA
nda-package             Package of Generalized Network-based
                        Dimensionality Reduction and Analyses
ndr                     Genearlized Network-based Dimensionality
                        Reduction and Analysis (GNDA)
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)
spdCor                  Calculating semi-partial distance correlation
                        of columns of a matrix
summary.nda             Summary function of Generalized Network-based
                        Dimensionality Reduction and Analysis (GNDA)
