Proc Means and Proc Print Output when using the above data.
The data from the R package lars. SAS code to access these data. Proc Means and Proc Print Output when using the above data from R. Note that the 10 x variables have been standardized to have mean 0 and squared length = 1 (sum(x^2)=1).
SAS Data set of Hastie's "quadratic model" data64.txt with Y added at the end.
From Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani (2004) "Least Angle Regression," Annals of Statistics (with discussion), 407-499, we have
"Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442 diabetes patients, as well as the response of interest, a quantitative measure of disease progression one year after baseline."
In the tab delimited file above, the variables are named
AGE SEX BMI BP S1 S2 S3 S4 S5 S6 Ywhereas, in the R file, they are named
age sex bmi map tc ldl hdl tch ltg glu yIn the SAS data set with quadratic variables added, the variables are
age sex bmi map tc ldl hdl tch ltg glu age2 bmi2 map2 tc2 ldl2 hdl2 tch2 ltg2 glu2 age_sex age_bmi age_map age_tc age_ldl age_hdl age_tch age_ltg age_glu sex_bmi sex_map sex_tc sex_ldl sex_hdl sex_tch sex_ltg sex_glu bmi_map bmi_tc bmi_ldl bmi_hdl bmi_tch bmi_ltg bmi_glu map_tc map_ldl map_hdl map_tch map_ltg map_glu tc_ldl tc_hdl tc_tch tc_ltg tc_glu ldl_hdl ldl_tch ldl_ltg ldl_glu hdl_tch hdl_ltg hdl_glu tch_ltg tch_glu ltg_glu y