### Motorcycle Data
### Data from a Simulated Motorcycle Accident
###
### SUMMARY:
### The motor data frame has 94 rows and 4 columns. The rows
### are obtained by removing replicate values of time from the
### dataset mcycle. Two extra columns are added to allow for
### strata with a different residual variance in each stratum.
### ~give succinct details here
###
### DATA DESCRIPTION:
### This data frame contains the following columns:
### times: The time in milliseconds since impact.
### accel: The recorded head acceleration (in g).
### strata: A numeric column indicating to which of the three
### strata (numbered 1, 2 and 3) the observations belong.
### v: An estimate of the residual variance for the observation.
### v is constant within the strata but a different estimate
### is used for each of the three strata.
###
### SOURCE:
### The data were obtained from
###
### Silverman, B.W. (1985) Some aspects of the spline
### smoothing approach to non-parametric curve fitting.
### Journal of the Royal Statistical Society, B, 47, 1-52.
###
### OTHER REFERENCES:
### Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods
### and Their Application. Cambridge University Press.
###
### Venables, W.N. and Ripley, B.D. (1994) Modern Applied
### Statistics with S-Plus. Springer-Verlag.
###
###