<![CDATA[Nominal logistic regression is an extension of binary logistic regression. Binary and nominal terms refer to how many categories are owned by the response variable Y. If Y contains only two categories the corresponding logistic regression is binary logistic regression. If the response variable Y r category covers and has a structure which takberurut (unordered) then the corresponding logistic regression is a nominal logistic regression. Of r categories owned by the response variable Y will be obtained (r -1) logit function. So that the estimate of the regression parameters paremater carried out simultaneously. Therefore the estimation is usually done by using the method of Newton-Rhapson. Keywords :Logit function, maximum likelihood estimators, method of Newton-Rhapson]]>
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