Example data provided in supplementary material
of Clarke & Skiba, 2013 paper, freely available on the publisher website. Data set contains cycling training load (i.e. dose)
measured using the BikeScore metric (in AU) over 165 days, with occasional training response measured using 5-min Power Test (in Watts).
Using Banister model implemented in Microsoft Excel, Clarke & Skiba, 2013 estimate the following parameters:

Intercept of 262 W

Gain of Positive Training Effect of 0.18 W/AU

Gain of Negative Training Effect of 0.23 W/AU

Time Constant of Positive Training Effect of 36 days

Time Constant of Negative Training Effect of 21 days

Sums of Square Error equal to 20.25 W

R Squared (Variance explained) of 0.979

data(bike_score)

Data frame with 3 variables and 165 observations:

- Day
Integer vector

- BikeScore
BikeScore training load metric in arbitrary units

- Test_5min_Power
Results of occasional 5min Power Test in Watts

## Source

Clarke DC, Skiba PF. 2013. Rationale and resources for teaching the mathematical modeling of athletic
training and performance. Advances in Physiology Education 37:134–152. DOI: 10.1152/advan.00078.2011.