Dataset:  HVAV_peform.csv

Source: J. Zhu and W. Chen (2015). "A Novel Multivariate Linear Prediction 
Model for the Marine Rotary Dessicant Air Conditioning by Adding a 
Dynamic Correction Factor," Applied Thermal Engineering, Vol. 78, pp. 101-109.

Description: Results of an experiment with 5 predictor variables and 3
responses in 18 runs. Predictors: process air flux (m^3/h), 
wheel speed (r/h), regeneration temperature (C), relative humidity of fresh
air, and dry bulb temperature of fresh air.
Response Variables: Moisture Removal of dessicant wheel,
thermal coeeficient of performance, power coefficient of performance.

Variable names:
run_id
airflux
wheelspd
regtemp
humid
drybulb
moistrem
thermalp
powerp