Can anybody know what your data looks like? What frequencies is it in the 3 categories?

Where did you "observed that"? Where does that comes from?

I have a model with a ordinal dependent variable: low, medium, high (coded as 1,2,3).

There are around 13% data with 1, 55% with 2, 32% with 3)

n=200

and there are 10 continuous predictor variables.

I carried out ordinal regression. But since n

is relatively small, dependent variable has 3 variations and data in one category(1) is low, it is giving some warnings (SPSS):

There are xx cells (i.e., dependent variable levels by observed combinations of predictor variable values) with zero frequencies.

The data were collected using survey. So, I cannot start data collection again and add data (as it is time bound study). And I found it is virtually impossible to eliminate those warnings with out adding cases (rows).

In goodness of fit:

pearson Sig 0.005

deviance Sig 1.00

Deviance significance is good but pearson is not.

I am trying to investigate significance (p value) and relation (effect) of each predictor variable on dependent variable.

So, what can or should I do or what can be done?

Can I ignore the warning and use the model and significance?

As an alternative: I carried out multiple regression every thing is fine. 8 variables are found the be significant. Model significance is less 0.05 (good).

Can I go with it? Totally stuck.