A dataset containing an example test set result to run a predictive probability model with a continuous response variable. This data set is a result of a 2^4 full factorial with five replicates that included five main effects, with two-way interactions (excluding two-way interactions for the third factor). This design has a power of 80%, with an 80% confidence level, to detect a difference of 50 units with a standard deviation of 100 units.
exData
A matrix with 80 rows and 14 columns:
Continuous Response Variable
Design Matrix
Please refer to the vignette for an example analysis of this data using ContRespPP.