### 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.
### 
###