[R] Package 'MASS' (polr): Error in svd(X) : infinite or missing values in 'x'

[Jeremy Little]

Dear Jessica

thank you for the scale solution to my problem.

I tried to manually scale my data (scaling up and removing decimals),
however, this resulted in the same error message.

It remains vague to me what the precise meaning of...
"the model matrix should be sensibly scaled with all columns having range
the order of one"
…actually means.

Regardless, the script you have supplied works for my data and looks (at
this point) like a suitable solution.

Many many thanks for your time in resolving this issue.


############

Dear Rune,

thank you for your valuable input.

I used the package 'ordinal' originally for this ordinal logistic regression
and this package was straight forward and worked fine without any errors.

However, I switched to using 'MASS', as I need to run these models through
an additional package 'AICcmodavg', which requires the 'MASS' inputs. Hence,
I have needed the models to work in 'MASS'.

The str(Jdata) call gives the following:

> str(Jdata)
'data.frame':	552270 obs. of  17 variables:
 $ POINTID    : int  582358 582360 582361 582359 35289 582357 582362 411225
584336 584493 ...
 $ Lat_Y_pos  : num  19.7 19.7 19.7 19.7 16 ...
 $ JVeg5      : Factor w/ 5 levels "1RF","2WSFEG",..: 5 5 5 5 1 5 5 5 5 5
...
 $ Subregion  : Factor w/ 47 levels "AU-BF","AU-BK",..: 16 16 46 16 8 16 46
28 46 46 ...
 $ Rock_U_Nam : Factor w/ 607 levels "Adler Hill Basalt",..: 33 33 33 33 173
33 33 585 112 112 ...
 $ Rock_Name  : Factor w/ 32 levels "ALLUVIUM","ARENITE",..: 13 13 13 13 25
13 13 10 23 23 ...
 $ Elevation  : num  317 230 180 317 107 ...
 $ Slope      : num  35.5 44.7 39.1 43.5 23 ...
 $ Aspect     : num  25.3 3.68 30.83 4.02 254.66 ...
 $ Hillshade  : int  182 211 167 212 200 218 216 245 214 27 ...
 $ Stream_dist: num  4241 4288 4330 4252 2160 ...
 $ Coast_dist : num  39497 39128 38883 39312 5601 ...
 $ Coast_SE   : num  404751 404821 404468 404680 28426 ...
 $ Coast_E    : int  78000 77500 77250 77750 15550 78250 77000 55650 77000
76800 ...
 $ Wind_310   : int  10 10 10 10 10 10 10 10 2 10 ...
 $ TPI        : num  -122.6 -109 -95.9 -94.7 -76.6 ...
 $ Landform   : int  1 1 1 1 1 1 1 1 1 1 ...

Does this provide any insight?

Thank you
##########

Thank you both for your generous time and support, it is greatly
appreciated.

kind regards

Jeremy

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