logistics

问题 I am sorry for re-uploading this quesiton, but I really want the answer. Kindly allow me to ask this question again and hope your kind support. The question is to find the right size box which allow the logistic business to save the money when shipping. We have 2 tables which are boxes and products. Boxes table contains each ID and dimensions per box. 'w' for wide, 'd' for depth and 'h' for height. Please assume we have just 3 box samples for our convenience. Products table includes also

问题 I'm experiencing some trouble when using the polr function. Here is a subset of the data I have: # response variable rep = factor(c(0.00, 0.04, 0.06, 0.13, 0.15, 0.05, 0.07, 0.00, 0.06, 0.04, 0.05, 0.00, 0.92, 0.95, 0.95, 1, 0.97, 0.06, 0.06, 0.03, 0.03, 0.08, 0.07, 0.04, 0.08, 0.03, 0.07, 0.05, 0.05, 0.06, 0.04, 0.04, 0.08, 0.04, 0.04, 0.04, 0.97, 0.03, 0.04, 0.02, 0.04, 0.01, 0.06, 0.06, 0.07, 0.08, 0.05, 0.03, 0.06,0.03)) # "rep" is discrete variable which represents proportion so that it