NOMREG
NOMREG
is available in Custom Tables and Advanced
Statistics.
NOMREG
is a procedure for fitting a multinomial logit model to a polytomous nominal
dependent variable.
NOMREG dependent varname [(BASE = {FIRST } ORDER = {ASCENDING**})] [BY factor list]
{LAST**} {DATA }
{value } {DESCENDING }
[WITH covariate list]
[/CRITERIA = [CIN({95**})] [DELTA({0**})] [MXITER({100**})] [MXSTEP({5**})]
{n } {n } {n } {n }
[LCONVERGE({0**})] [PCONVERGE({1.0E-6**})] [SINGULAR({1E-8**})]
{n } {n } {n }
[BIAS({0**})] [CHKSEP({20**})] ]
{n } {n }
[/FULLFACTORIAL]
[/INTERCEPT = {EXCLUDE }]
{INCLUDE** }
[/MISSING = {EXCLUDE**}]
{INCLUDE }
[/MODEL = {[effect effect ...]} [| {BACKWARD} = { effect effect ...}]]
{FORWARD }
{BSTEP }
{FSTEP }
[/STEPWISE =[RULE({SINGLE** })][MINEFFECT({0** })][MAXEFFECT(n)]]
{SFACTOR } {value}
{CONTAINMENT}
{NONE }
[PIN({0.05**})] [POUT({0.10**})]
{value } {value }
[ENTRYMETHOD({LR** })] [REMOVALMETHOD({LR**})]
{SCORE} {WALD}
[/OUTFILE = [{MODEL }(filename)]]
{PARAMETER}
[/PRINT = [CELLPROB] [CLASSTABLE] [CORB] [HISTORY({1**})] [IC] ]
{n }
[SUMMARY ] [PARAMETER ] [COVB] [FIT] [LRT] [KERNEL]
[ASSOCIATION] [CPS**] [STEP**] [MFI**] [NONE]
[/SAVE = [ACPROB[(newname)]] [ESTPROB[(rootname[:{25**}])] ]
{n }
[PCPROB[(newname)]] [PREDCAT[(newname)]]
[/SCALE = {1** }]
{n }
{DEVIANCE}
{PEARSON }
[/SUBPOP = varlist]
[/TEST[(valuelist)] = {[‘label’] effect valuelist effect valuelist...;}]
{[‘label’] ALL list; }
{[‘label’] ALL list }
** Default if the subcommand is omitted.
This command reads the active dataset and causes execution of any pending commands. See the topic Command Order for more information.
Syntax for the NOMREG command can be generated from the Multinomial Logistic Regression dialog.
Release History
Release 13.0
-
ENTRYMETHOD
keyword introduced onSTEPWISE
subcommand. -
REMOVALMETHOD
keyword introduced onSTEPWISE
subcommand. -
IC
keyword introduced onPRINT
subcommand.
Release 15.0
-
ASSOCIATION
keyword introduced onPRINT
subcommand.
Release 17.0
- Added support
for
SET THREADS
andSET MCACHE
.
Example
NOMREG response.