Format
A data frame with 48 observations on the following 14 variables. There are 3 factors and 9 response variables.
Group- a factor with 12 levels, corresponding to the combinations of
Contour and Depth Contour- a factor with 3 levels:
Depression Slope Top Depth- a factor with 4 levels:
0-10 10-30 30-60 60-90 Gp- a factor with 12 levels, giving abbreviations for the groups:
D0 D1 D3 D6 S0 S1 S3 S6 T0 T1 T3 T6 Block- a factor with levels
1 2 3 4 pH- soil pH
N- total nitrogen in %
Dens- bulk density in gm/cm$^3$
P- total phosphorous in ppm
Ca- calcium in me/100 gm.
Mg- magnesium in me/100 gm.
K- phosphorous in me/100 gm.
Na- sodium in me/100 gm.
Conduc- conductivity
Source
Horton, I. F.,Russell, J. S., and Moore, A. W. (1968)
Multivariate-covariance and canonical analysis:
A method for selecting the most effective discriminators in a multivariate situation.
Biometrics 24, 845--858.
Originally from http://www.stat.lsu.edu/faculty/moser/exst7037/soils.sas but no longer available there.