search for: respa

...ode for this is given below. If is is not possible to do this as an option within lm, is there another way rather than creating new data frames that are defined by a given cluster label? Thanks again for your help. library(stats4) #Define the Models #Two simple linear models: #Model A: respA = a0 + a1x + e(a), e(a) ~N(0, sigma^2(a)) #Model B: respB = b0 + b1x + e(b), e(b) ~N(0, sigma^2(b)) a0= 0; a1 = 1.5; sigmaA=4; b0=50; b1=-2; sigmaB=4; n=250; min=0; max=50; #Generate Data from the Models x1 = runif(n, min, max); #Explanatory variable eA = rnorm(n, 0, sigmaA); eB = rnorm(n, 0,...