Timores

02-14-2011, 09:28 AM

Hi,

I am a newbie in statistics and am having trouble using the CategoricalGenLinModel with the probit method.

I have a series of observations, with n measures for each. I'd like to relate these n measures with a fact.

I created a double[,] array, with as many rows as I have observations. I've set the first n columns of the arrays to the measures and (n + 1)th column to the fact value.

The result of calling Solve() is an array with a single row, as if there is only one measure.

My problem is that I don't understand the terminology behind the documentation. What should I set the properties of my CategoricalGenLinModel instance to, such that it considers the first n columns as measures (or coefficients as the docs of Solve() says) ?

Thanks in advance,

Jean-Marie Pirelli

I am a newbie in statistics and am having trouble using the CategoricalGenLinModel with the probit method.

I have a series of observations, with n measures for each. I'd like to relate these n measures with a fact.

I created a double[,] array, with as many rows as I have observations. I've set the first n columns of the arrays to the measures and (n + 1)th column to the fact value.

The result of calling Solve() is an array with a single row, as if there is only one measure.

My problem is that I don't understand the terminology behind the documentation. What should I set the properties of my CategoricalGenLinModel instance to, such that it considers the first n columns as measures (or coefficients as the docs of Solve() says) ?

Thanks in advance,

Jean-Marie Pirelli