This input is diabetes data from "Least Angle Regression," by Bradley Efron and others.
The input table has one response (vector y) and ten baseline predictors measured on 442 diabetes patients. The baseline predictors are age, sex, body mass index (bmi), mean arterial pressure (map) and six blood serum measurements (tc, ldl, hdl, tch, ltg, glu).
id | age | sex | bmi | map | tc |
---|---|---|---|---|---|
1 | 0.0380759 | 0.0506801 | 0.0616962 | 0.0218724 | -0.0442235 |
2 | -0.00188202 | -0.0446416 | -0.0514741 | -0.0263278 | -0.00844872 |
3 | 0.0852989 | 0.0506801 | 0.0444512 | -0.00567061 | -0.0455994 |
4 | -0.0890629 | -0.0446416 | -0.011595 | -0.0366564 | 0.0121906 |
5 | 0.00538306 | -0.0446416 | -0.0363847 | 0.0218724 | 0.00393485 |
... | ... | ... | ... | ... | ... |
ldl | hdl | tch | ltg | glu | y |
---|---|---|---|---|---|
-0.0348208 | -0.0434008 | -0.00259226 | 0.0199084 | -0.0176461 | 151 |
-0.0191633 | 0.0744116 | -0.0394934 | -0.0683297 | -0.092204 | 75 |
-0.0341945 | -0.0323559 | -0.00259226 | 0.00286377 | -0.0259303 | 141 |
0.0249906 | -0.0360376 | 0.0343089 | 0.022692 | -0.00936191 | 206 |
0.0155961 | 0.00814208 | -0.00259226 | -0.0319914 | -0.0466409 | 135 |
... | ... | ... | ... | ... | ... |
The column id is the row identifier, y is the response, and the other columns are predictors.
This data set is atypical in that each predictor has mean 0 and norm 1, which means that:
- The value of the Normalize argument is irrelevant.
- If the value of the Intercept argument is 'true', then the intercept is considered to be constant along the entire path (which is typically not true).