Description Usage Value Source References Examples
Data collected in a study concerning patients with diabetes. The response
variable of interest was disease progression one year after taking baseline
measurements on various clinical variables. For each of n=442 patients,
the data comprise a quantitative measure of disease progression (dis
)
and measurements on p=10 baseline (explanatory) variables: age (age
),
sex (sex
), body mass index (bmi
), average blood pressure
(map
) and six blood serum measurements (tc
, ldl
,
hdl
, tch
, ltg
, glu
). The explanatory variables
have been transformed to have mean 0, with sum of squares equal to 1.
1 |
A data frame with 442 rows and 11 variables. The data frame contains the following columns:
Age.
Gender.
Body mass index.
Average blood pressure.
Blood serum measurement 1.
Blood serum measurement 2.
Blood serum measurement 3.
Blood serum measurement 4.
Blood serum measurement 5.
Blood serum measurement 6.
Quantitative measure of disease progression.
http://www-stat.stanford.edu/~hastie/Papers/LARS/LeastAngle_2002.ps.
Efron, B., Hastie, T., Johnstone, I. and Tibshirani, R. (2004), Least Angle Regression (with discussion). Annals of Statistics, 32, 407–499.
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