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   *                       Package   GWmodel                             *
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   Program starts at: 2024-11-01 13:26:20 
   Call:
   gwr.multiscale(formula = mgwrformula, data = spdata, kernel = kernel, 
    adaptive = adaptive, parallel.method = parallelmethod, parallel.arg = parallelarg)

   Dependent (y) variable:  purchase
   Independent variables:  floorsz unemploy prof
   Number of data points: 316
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   *                       Multiscale (PSDM) GWR                          *
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   *********************Model calibration information*********************
   Kernel function: gaussian 
   Adaptive bandwidths for each coefficient(number of nearest neighbours): 
              (Intercept) floorsz unemploy prof
   Bandwidth           12       8       23   15

   *************Summary of multiscale GWR coefficient estimates:***************
                   Min.    1st Qu.     Median    3rd Qu.      Max.
   Intercept -232091.33 -114892.94  -78704.77  -43706.26  155227.8
   floorsz       551.89    1032.49    1492.73    1817.43    3370.2
   unemploy  -248502.83  203204.96  400975.05  580087.72 1092930.0
   prof      -253022.08  137820.17  171631.41  230973.25  368848.5
   ************************Diagnostic information*************************
   Number of data points: 316 
   Effective number of parameters (2trace(S) - trace(S'S)): 70.13062 
   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 245.8694 
   AICc value:  7514.642 
   AIC value:  7425.142 
   BIC value:  7389.256 
   Residual sum of squares:  246038848199 
   R-square value:  0.8626099 
   Adjusted R-square value:  0.8232613 

   ***********************************************************************
   Program stops at: 2024-11-01 13:33:05