Our two main reference books are:

• Arnold, S. (1981), The theory of Linear Models and Multivariate Analysis, New York: Wiley.
• Seber, G.A.F. (1984), Multivariate Observations, New York: Wiley.

There will be two exams, a Midterm and a Final. This will constitute 60% of the grade, while the remaining 40% will consist of Daily Homework assignments and special projects. A bonus will be given if the homework is handed in by the next class after it was handed out.

• Data used in exercises or as examples in class discussion. Data are indexed by name of data set. In some cases, a brief description of each data set is provided. Data sets will be added as the course progresses.
• R Functions used in examples in class discussion. Functions are indexed by function name; a brief discussion of the function is provided.

  R is freeware which can be downloaded at hhtp://lib.stat.cmu.edu/R/CRAN

• Notes These notes were made for a seminar in multivariate methods goven at Pharmacia by Joe McKean and Kim Crimin. All the commands used after lecture 2 are displayed on the web under this link. The code assumes that the functions and data sets are in on the 'c' drive, in a foler called 'R Source'. The function are in another folder called 'rfuncs' and the data are in folder called 'data'.

Homework Assignments.