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Statistical Modeling and Analysis in R

  1. OLS Regression
  2. Spatial Lag, Spatial Error, and Geographically Weighted Regression
  3. Logistic and Multinomial Logistic Regression
  4. Point Pattern Analysis
  5. K-Means Clustering
  6. Text Mining