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  1. Fahrmeir::breath
    Breathing Test
  2. Fahrmeir::caesar
    Caesarian Birth Study
  3. Fahrmeir::cells
    Cellular Differentiation
  4. Fahrmeir::credit
    Credit Score Data From a South German Bank
  5. Fahrmeir::happy
    Reported Happiness
  6. Fahrmeir::headneck
    Head and Neck Cancer data
  7. Fahrmeir::ohio
    Air Pollution and Health
  8. Fahrmeir::Regensburg
    Job Expectation
  9. Fahrmeir::rheuma
    Data from Patients with Acute Rheumatoid Arthritis
  10. Fahrmeir::tonsil
    Data Set of Tonsil Size in Children
  11. Fahrmeir::visual
    Visual Impairment Data
  12. Fahrmeir::wine
    Bitterness of White Wines
  13. SenSrivastava::E1.1
    Data on density of vehicles and average speed
  14. SenSrivastava::E1.11
    Data on violent and property crimes in 22 metropolitan areas of the U.S.
  15. SenSrivastava::E1.15
    Stevens Experiment to compare notes against a standard (80 Db)
  16. SenSrivastava::E1.16
    Earnings and Prices of Selected Paper Company Stocks
  17. SenSrivastava::E1.17
    Data on Population Density and Vehicle Thefts
  18. SenSrivastava::E1.18
    Data on Simsbury Marriages
  19. SenSrivastava::E1.19
    Data on Book Prices, Pages and Type of Binding
  20. SenSrivastava::E1.20
    Data on Physical Quality of Life Index (PQLI) Scores and Infant Mortality Rates (IMR) for Selected Indian States
  21. SenSrivastava::E1.21
    Data on Loads and Deformation of a Bar
  22. SenSrivastava::E1.7
    Data on Population and Number of Telephones
  23. SenSrivastava::E10.1
    Multicollinear Data
  24. SenSrivastava::E10.11
    Longley's Data
  25. SenSrivastava::E10.3
    Supervisor Rating Data
  26. SenSrivastava::E11.1
    Artificially Created Data for an Example on Variable Search
  27. SenSrivastava::E2.1
    Data on Grade Point Average and SAT Scores
  28. SenSrivastava::E2.11
    Demographic Data for the 50 States of the U.S.
  29. SenSrivastava::E2.2
    Data on House Prices
  30. SenSrivastava::E2.4
    International Car Ownership Data
  31. SenSrivastava::E2.6
    Voltage Data
  32. SenSrivastava::E2.7
    Korean Auto Ownership Data
  33. SenSrivastava::E2.8
    Data on per Capita Output of Workers in Shanghai
  34. SenSrivastava::E2.9
    Data on Capital, Labour and Value Added for Three Sectors
  35. SenSrivastava::E3.4
    Men's Worlds Record Times for Running and Corresponding Distances
  36. SenSrivastava::E3.5
    Women's World Record Times for Running and Corresponding Distances
  37. SenSrivastava::E3.6
    Data on Corporations and Corporation Chairmen
  38. SenSrivastava::E3.7
    Data on Oxygen Demand in Dairy Wastes
  39. SenSrivastava::E3.8
    Map reading Test scores and Route Finding Scores
  40. SenSrivastava::E3.9
    Blood Velocity Data
  41. SenSrivastava::E4.1
    Traffic Fatality Data for Illinois
  42. SenSrivastava::E4.10
    Votes from Chicago's Twenty-second Ward by Precinct
  43. SenSrivastava::E4.11
    Data on Cost of Repairing Starters, Ring Gears or Both in Diesel Engines
  44. SenSrivastava::E4.12
    Time taken by Professional Dieticians and Interns for Four Patient Contact Activities
  45. SenSrivastava::E4.13
    Data on Hospital Charges
  46. SenSrivastava::E4.4
    Measures of Quality for Agencies Delivering Transportation for the Elderly and the Handicapped
  47. SenSrivastava::E4.7
    Data on Per-Capita Income and Life Expectancy
  48. SenSrivastava::E6.1
    Data on Automobile Speed and Distance Covered to Come to a Standstill after Breaking
  49. SenSrivastava::E6.10
    Data on Perceived and Computed Travel Times by Bus
  50. SenSrivastava::E6.11
    Heights of Fathers and Sons
  51. SenSrivastava::E6.8
    Dial-a-ride Data
  52. SenSrivastava::E7.1
    Data on Dental Measurements
  53. SenSrivastava::E7.2
    Prices of Crude Oil, Natural Gas, Bituminous Coal and Lignite, and Anthracite by Year.
  54. SenSrivastava::E7.3
    Data on Intake/Output Ratio
  55. SenSrivastava::E7.4
    Data on PCO2 and Cerebral Blood Flow for Five Regions of the Brain of five Chimpanzees
  56. SenSrivastava::E7.5
    Data on Static Weights and Weight in Motion of Trucks
  57. SenSrivastava::E7.6
    Community Area Data for the North Part of the City of Chicago
  58. SenSrivastava::E7.7
    The Contiguity Matrix for the 34 Areas in Northern Chicago
  59. SenSrivastava::E8.12
    Data on Lung Cancer Deaths and Cigarette Smoking
  60. SenSrivastava::E8.13
    Florida Cumulus Experiment Data
  61. SenSrivastava::E9.11
    Data on Transit Privatization
  62. SenSrivastava::E9.18
    Data Travel Times and Usage for Automobiles and Public Transportation
  63. SenSrivastava::E9.19
    Acceleration data
  64. SenSrivastava::E9.20
    Stadium Cleanup Data
  65. SenSrivastava::E9.21
    Depreciation in Market Value of Large Factories
  66. SenSrivastava::E9.3
    "Areas", lengths and widths of rectangles
  67. SenSrivastava::E9.8
    Data on monthly rent, annual income and househould size
  68. SenSrivastava::Ec.8
    Data on asylum requests to the U.S. by country of origen of applicant
  69. SenSrivastava::Ex.7.7
    U.S. Population in thousands, for exercise 7.7
  70. SenSrivastava::Ex4.4
    Data on Effects of Air Pollution on Interpersonal Attraction