> summary(p1)

Re-fitting to get Hessian

Call:
polr(formula = diosin_density.rp ~ intensity[, 1])

Coefficients:
                   Value   Std. Error    t value
intensity[, 1] -5429.317 9.498034e-06 -571625337

Intercepts:
    Value         Std. Error    t value
0|1  5.428000e-01  1.484000e-01  3.657400e+00
1|2  1.101500e+00  1.578000e-01  6.982000e+00
2|3  2.808000e+00  2.697000e-01  1.040980e+01
3|4  3.355600e+00  3.421000e-01  9.809300e+00
Residual Deviance: 438.7548
AIC: 448.7548


This is my result.

I wanted to know relation of data so, I did regression.

I got the result of regression. but I didn't know what values have
information that I want.

My data like somthing



   0 -8.00E-05 0 -5.00E-05 0 -2.00E-05 0 -5.00E-05 0 -4.00E-05 0 -0.00012 0
-6.00E-05 3 -0.00011 3 -0.00011 3 -9.00E-05 1 -0.00015 1 -0.00013 1
-4.00E-05 2 -0.00011 2 -6.00E-05 2 3.00E-05 4 -5.00E-05 4 3.00E-05 4
-0.00012 3 -0.00012 3 -4.00E-05 3 -1.00E-05 0 -3.00E-05 0 -3.00E-05 0
-2.00E-05 0 -1.00E-05 0 -8.00E-05 0 -0.00017

The first colum is level of material.

The  second colum is measured value.

I want to know how much measured values related with level of material.

I did ordinal regression using polr function.

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