Linnerrud dataset¶
Data Set Characteristics:
- Number of Instances:
20
- Number of Attributes:
3
- Missing Attribute Values:
None
The Linnerud dataset is a multi-output regression dataset. It consists of three exercise (data) and three physiological (target) variables collected from twenty middle-aged men in a fitness club:
- physiological - CSV containing 20 observations on 3 physiological variables:
Weight, Waist and Pulse.
- exercise - CSV containing 20 observations on 3 exercise variables:
Chins, Situps and Jumps.
|details-start| References |details-split|
Tenenhaus, M. (1998). La regression PLS: theorie et pratique. Paris: Editions Technic.