[21] marks] The table belowr reports the results from a developmental toxicity study involving ordinal categorical outcomes. This study administered...

I am using R to code an Iterative Reweighted Least Squares for this particular set of data. I have previously coded for Binomial populations, so I am struggling to determine how to combine the data into one in order to find the MLEs

2. [21] marks] The table belowr reports the results from a developmental toxicity studyinvolving ordinal categorical outcomes. This study administered diethylene glycoldimethyl ether [an industrial solvent used in the manufacture of protective matings}to pregnant mice. Each mouse was exposed to one of five concentration levels for tendays early in the pregnancy {with concentration I] corresponding to controls). Twodays later, the uterine contents of the pregnant mice were examined for defects. Onein three {ordered} outcomes {“Dead”, “Malformation", “Normal”] was recorded foreach fetus. Concentration Response 'Ibtal number[mgfkg per day} Dead Malformation Normal of subjects {51'} [Hill {vi-2) Eye) [mil [1 2'9752.5 242125 312250 29!]EDD 235 Assume a multinomial population fiJr these data:lilo: metre} 1"“ Multtnontialliwthnihwfl,nfl} where Eli-“£11,3- : 1. In order to create the order of the response categories usecontinuation—ratio logits for the response probabilities: 11"] “1'20s (m + m) on + 313:, as (m) to + ’32s. {a} Write and implement your own IflfirLS code for this Multinomial model toobtain the MLE’s of :11, ea, ,31, and fig.