scikits.learn.datasets.load_linnerud

scikits.learn.datasets.load_linnerud()

Load the linnerud dataset and returns it.

Returns :

data : Bunch

Dictionnary-like object, the interesting attributes are: ‘data_exercise’ and ‘data_physiological’, the two multivariate datasets, as well as ‘header_exercise’ and ‘header_physiological’, the corresponding headers.

Notes

Number of Instances:  20 Number of Attributes:  3 Missing Attribute Values:  None

The Linnerud dataset constains two small dataset:

• exercise A list containing the following components: exercise data with 20 observations on 3 exercise variables: Weight, Waist and Pulse

• physiological data frame with 20 observations on 3 physiological variables:

  Chins, Situps and Jumps

Source: Tenenhaus, M. (1998), Table 1, page 15.

References

• http://rgm2.lab.nig.ac.jp/RGM2/func.php?rd_id=mixOmics:linnerud
• Tenenhaus, M. (1998). La regression PLS: theorie et pratique. Paris: Editions Technic.