I have one ordinal variable as the dependent variable (eg. High,
Medium, Low on Inventory Turns) and about 50 ordinal variables as
independent variables (to start with) (eg. High, Medium, Low focus on
forecast accuracy)
I need to perform regression between them to find out which
independent variables lead to better values of the dependent variable.
The SPSS ordinal regression (PLUM) is unsuitable for this, as it just
considers the values as categories.
Any idea if SPSS Categories (CATREG) suitable for this problem?
Appreciate the help.
James
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