The HPNLMOD Procedure
MODEL Statement
MODEL dependent-variable ~ distribution;
The MODEL statement is the mechanism for either using a distribution specification to specify the distribution of the data or using the RESIDUAL distribution to specify a predicted value. You must specify a single dependent variable from the input data set, a tilde (~), and then a distribution along with its parameters. You can specify the following values for distribution:
- RESIDUAL or LS
specifies no particular distribution. Instead the sum of squares of the differences between and the dependent variable is minimized.
- NORMAL
specifies a normal (Gaussian) distribution that has mean and variance .
- BINARY
specifies a binary (Bernoulli) distribution that has probability .
- BINOMIAL
specifies a binomial distribution that has count and probability .
- GAMMA
- NEGBIN
specifies a negative binomial distribution that has count and probability .
- POISSON
- GENERAL
specifies a general log-likelihood function that you construct by using SAS programming statements.
The MODEL statement must follow any SAS programming statements that you specify for computing parameters of the preceding distributions. For information about the built-in log-likelihood functions, see the section Built-In Log-Likelihood Functions .