ACCOUNT                 Predicting whether a customer will open a new
                        kind of account
APPLIANCE               Appliance shipments
ATTRACTF                Attractiveness Score (female)
ATTRACTM                Attractiveness Score (male)
AUTO                    AUTO dataset
BODYFAT                 BODYFAT data
BODYFAT2                Secondary BODYFAT dataset
BULLDOZER               BULLDOZER data
BULLDOZER2              Modified BULLDOZER data
CALLS                   CALLS dataset
CENSUS                  CENSUS data
CENSUSMLR               Subset of CENSUS data
CHARITY                 CHARITY dataset
CHURN                   CHURN dataset
CUSTCHURN               CUSTCHURN dataset
CUSTLOYALTY             CUSTLOYALTY dataset
CUSTREACQUIRE           CUSTREACQUIRE dataset
CUSTVALUE               CUSTVALUE dataset
DIET                    DIET data
DONOR                   DONOR dataset
EDUCATION               EDUCATION data
EX2.CENSUS              CENSUS data for Exercise 5 in Chapter 2
EX2.TIPS                TIPS data for Exercise 6 in Chapter 2
EX3.ABALONE             ABALONE dataset for Exercise D in Chapter 3
EX3.BODYFAT             Bodyfat data for Exercise F in Chapter 3
EX3.HOUSING             Housing data for Exercise E in Chapter 3
EX3.NFL                 NFL data for Exercise A in Chapter 3
EX4.BIKE                Bike data for Exercise 1 in Chapter 4
EX4.STOCKPREDICT        Stock data for Exercise 2 in Chapter 4
                        (prediction set)
EX4.STOCKS              Stock data for Exercise 2 in Chapter 4
EX5.BIKE                BIKE dataset for Exercise 4 Chapter 5
EX5.DONOR               DONOR dataset for Exercise 4 in Chapter 5
EX6.CLICK               CLICK data for Exercise 2 in Chapter 6
EX6.DONOR               DONOR dataset for Exercise 1 in Chapter 6
EX6.WINE                WINE data for Exercise 3 Chapter 6
EX7.BIKE                BIKE dataset for Exercise 1 Chapters 7 and 8
EX7.CATALOG             CATALOG data for Exercise 2 in Chapters 7 and 8
EX9.BIRTHWEIGHT         Birthweight dataset for Exercise 1 in Chapter 9
EX9.NFL                 NFL data for Exercise 2 Chapter 9
EX9.STORE               Data for Exercise 3 Chapter 9
FRIEND                  Friendship Potential vs. Attractiveness Ratings
FUMBLES                 Wins vs. Fumbles of an NFL team
JUNK                    Junk-mail dataset
LARGEFLYER              Interest in frequent flier program (large
                        version)
LAUNCH                  New product launch data
MOVIE                   Movie grosses
NFL                     NFL database
OFFENSE                 Some offensive statistics from 'NFL' dataset
PIMA                    Pima Diabetes dataset
POISON                  Cockroach poisoning data
PRODUCT                 Sales of a product one quarter after release
PURCHASE                PURCHASE data
SALARY                  Harris Bank Salary data
SMALLFLYER              Interest in a frequent flier program (small
                        version)
SOLD26                  Predicting future sales
SPEED                   Speed vs. Fuel Efficiency
STUDENT                 STUDENT data
SURVEY09                Student survey 2009
SURVEY10                Student survey 2010
SURVEY11                Student survey 2011
TIPS                    TIPS dataset
VIF                     Variance Inflation Factor
WINE                    WINE data
all_correlations        Pairwise correlations between quantitative
                        variables
associate               Association Analysis
build_model             Variable selection for descriptive or
                        predictive linear and logistic regression
                        models
build_tree              Exploratory building of partition models
check_regression        Linear and Logistic Regression diagnostics
choose_order            Choosing order of a polynomial model
combine_rare_levels     Combines rare levels of a categorical variable
confusion_matrix        Confusion matrix for logistic regression models
cor_demo                Correlation demo
cor_matrix              Correlation Matrix
examine_driver_Ycat     Main driver analysis when Y is a categorical
                        quantity
examine_driver_Ynumeric
                        Main driver analysis when Y is a numeric
                        quantity
extrapolation_check     A crude check for extrapolation
find_transformations    Transformations for simple linear regression
generalization_error    Calculating the generalization error of a model
                        on a set of data
getcp                   Complexity Parameter table for partition models
influence_plot          Influence plot for regression diganostics
mode_factor             Find the mode of a categorical variable
mosaic                  Mosaic plot
outlier_demo            Interactive demonstration of the effect of an
                        outlier on a regression
overfit_demo            Demonstration of overfitting
possible_regressions    Illustrating how a simple linear/logistic
                        regression could have turned out via
                        permutations
qq                      QQ plot
replace_rare_levels     Replaces rare levels of a categorical variable
see_interactions        Examining pairwise interactions between
                        quantitative variables for a fitted regression
                        model
see_models              Examining model AICs from the "all possible"
                        regressions procedure using regsubsets
segmented_barchart      Segmented barchart
suggest_levels          Combining levels of a categorical variable
summarize_tree          Useful summaries of partition models from rpart
visualize_model         Visualizations of one or two variable linear or
                        logistic regressions or of partitions models
visualize_relationship
                        Visualizing the relationship between y and x in
                        a partition model
