Dataset: sludge_centrifuge_dryer.csv Source: B. Peeters, R. Dewil, I.Y. Smets (2012). "Improved Process Control of an Industrial Sludge Centrifuge-Dryer Installation Through Binary Logistic Regression Modeling of the Fouling Issues," Journal of Process Control, Vol. 22, pp. 1387-1396. Description: Results of an experiment with 3 factors on presence/absence of fouling by a sudge centrifuge dryer. Factors: Sludge Volume Index /* 1 = < 60 mL/g, 2= > 60 */ Flotation sludge to Feed /* 1= No addition, 2=Addition, 3=polyaluminumchloride*/ Clay Dosing /* 1=Low, 2=Medium, 3=High */ Variables SVI sludgefd claydose totcase /* Number of observations */ numfoul /* number fouling */