| ascentTraining-package | Ascent Training Datasets | 
| ascentTraining | Ascent Training Datasets | 
| auto_mpg | Auto MPG Data Set | 
| bbc_articles | BBC articles data | 
| bbc_articles_full | Full BBC Articles data | 
| bbc_business_123 | BBC Business article data | 
| bbc_politics_123 | BBC Politics article data | 
| body_image | Body image dataset | 
| book_sections | Gutenberg Project books dataset | 
| boston | Boston housing dataset | 
| breast_cancer | Wisconsin Diagnostic Breast Cancer (WDBC) | 
| breast_cancer_clean_features | Wisconsin Breast Cancer Database | 
| breast_cancer_clean_target | Wisconsin Breast Cancer Database | 
| carriers | Carrier data | 
| commute | R For Data Science tidytuesday commute dataset | 
| demoData | Demographics data | 
| demo_data | Demographics data | 
| dowJonesData | Dow Jones Index Data | 
| dow_jones_data | Dow Jones Index Data | 
| drugs | Repeated Measures Drug data | 
| emaxData | Data that can be used to fit or plot Emax models | 
| emax_data | Data that can be used to fit or plot Emax models | 
| emax_fun | Function to calculate Emax | 
| logistic_fun | Function to fit logistic model | 
| messyData | Messy clinical trial data | 
| messy_data | Messy clinical trial data | 
| missingPk | Clinical trial data | 
| missing_pk | Clinical trial data | 
| pkData | Typical PK data | 
| pk_data | Typical PK data | 
| policyData | Insurance Policy Data | 
| policy_data | Insurance Policy Data | 
| qtpk2 | Typical PK data | 
| runData | An example of NONMEM run data | 
| run_data | An example of NONMEM run data | 
| students | Students simulated data | 
| tubeData | London Tube Performance data | 
| tube_data | London Tube Performance data | 
| xpData | Typical NONMEM data | 
| xp_data | Typical NONMEM data | 
| x_iris | Iris predictors data for Species classification | 
| y_iris | Iris class data for Species classification |