[R] Interpreting the example given by Frank Harrell in the predict.lrm {Design} help

[Frank Harrell]

I may be missing a point, but the proportional odds model easily gives you
odds ratios for Y>=j (independent of j by PO assumption).  Other options
include examining a rank correlation between the linear predictor and Y, or
(if Y is numeric and spacings between categories are meaningful) you can get
predicted mean Y (see the Mean.lrm in the R rms package, a replacement for
the Design package).

Frank 

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Frank Harrell
Department of Biostatistics, Vanderbilt University
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