Data2010                Spatial dataset to replicate the results for
                        2010 from Cerqueti, R., Maranzano, P. &
                        Mattera, R. "Spatially-clustered spatial
                        autoregressive models with application to
                        agricultural market concentration in Europe".
                        arXiv preprints
                        (<https://doi.org/10.48550/arXiv.2407.15874>
Data2020                Spatial dataset to replicate the results for
                        2020 from Cerqueti, R., Maranzano, P. &
                        Mattera, R. "Spatially-clustered spatial
                        autoregressive models with application to
                        agricultural market concentration in Europe".
                        arXiv preprints
                        (<https://doi.org/10.48550/arXiv.2407.15874>)
Elbow_finder            Automatically selects the optimal number of
                        clusters based on elbow criterion.
SCSR_Estim              Estimate spatially-clustered spatial regression
                        models
SCSR_InfoCrit           Automatically select the optimal number of
                        clusters based on likelihood information
                        criteria (i.e., AIC, BIC and HQC) for a given
                        SCSR model.
SC_AMKM                 Spatial Clustering for sf data
SpatReg_Extract         Extracts numerical values for the estimated
                        regression parameters (i.e., spatial
                        coefficients, regression coefficients, and
                        residuals variance) for a given spatial
                        regression model of class 'lm' or 'Sarlm'.
SpatReg_GoF             Computes a set of goodness-of-fit indices
                        (e.g., likelihood-based information criteria,
                        Wald and LR test, Moran's I statistic) for a
                        given spatial regression model of class 'lm' or
                        'Sarlm'.
SpatReg_Perf            Computes a set of in-sample performance metrics
                        (i.e., AIC, BIC, RMSE, Sigma, and Pseudo R^2)
                        for a given spatial regression model of class
                        'lm' or 'Sarlm'.
SpatReg_PseudoR2        Computes the Pseudo R^2 metric for a given
                        spatial regression model of class 'lm' or
                        'Sarlm'.
listW                   List of 222 spatial weights (style = "W",
                        zero.policy=TRUE) used in Cerqueti, R.,
                        Maranzano, P. & Mattera, R.
                        "Spatially-clustered spatial autoregressive
                        models with application to agricultural market
                        concentration in Europe". arXiv preprints
                        (<https://doi.org/10.48550/arXiv.2407.15874>)
