Help System (web edition)

MODEL is a specification to be used in conjunction with the ESTIMATE
operation. In regression models the general structure is
MODEL <name of the model> 
<regressand>=<function of regressors and parameters> 

Examples: Weight=a+b*Length
          log(Y)=constant+S*sin(s*t)+C*cos(c*t)
          (Z^c-1)/c=a*X+b    (c on the left side is a parameter.)

It is possible to make literal substitutions in the model notation
by using abbreviations in braces as follows:

{L}=log(Length)
MODEL M1
Y=a0+a1*{L}+a2*{L}^2+a3*{L}^3

  F = mathematical functions available in ESTIMATE 
  M = general ML estimation 
  S = More information on extra specifications in ESTIMATE