p12.12 {MPV} | R Documentation |
The p12.12
data frame has 18 observations on an
chemical experiment. A nonlinear model relating concentration to
reaction time and temperature with an additive error is proposed to
fit these data.
data(p12.12)
This data frame contains the following columns:
Montgomery, D.C., Peck, E.A., and Vining, C.G. (2001) Introduction to Linear Regression Analysis. 3rd Edition, John Wiley and Sons.
data(p12.12) attach(p12.12) # fitting the linearized model logy.lm <- lm(I(log(y))~I(log(x1))+I(log(x2))) summary(logy.lm) plot(logy.lm, which=1) # checking the residuals # fitting the nonlinear model y.nls <- nls(y ~ theta1*I(x1^theta2)*I(x2^theta3), start=list(theta1=.95, theta2=.76, theta3=.21)) summary(y.nls) plot(resid(y.nls)~fitted(y.nls)) # checking the residuals