LinearModelFit regression estimated variance error

*To*: mathgroup at smc.vnet.net*Subject*: [mg102310] LinearModelFit regression estimated variance error*From*: Parita <parita.patel at gmail.com>*Date*: Wed, 5 Aug 2009 05:43:12 -0400 (EDT)

Hi I want to run linear regression in Mathematica and am using LinearModelFit for the same. Following is the code that I am using. data1 contains the 10 columns. The first 9 columns contains the data through which I want to run regression and the last column contains the response value. model = LinearModelFit [data1, {a, b, c, d, e, f, g, h, i}, {a, b, c, d, e, f, g, h, i}]; Print[model["BestFit"]]; However, I am getting the following two errors - FittedModel::varzero: The estimated variance is zero. Properties requiring division by the variance or standard error will not be computed. FittedModel::varnum: The estimated variance -8.76512*10^-32 is not a positive number. Properties requiring division by the variance or standard error will not be computed. FittedModel::badfit: -- Message text not found -- I am getting the coefficients for the regression model bu the standard error, p-values and R-squared are indeterminate. Any ideas what this error means and how can I go around it? Thanks in advance for your help

**Follow-Ups**:**Re: LinearModelFit regression estimated variance error***From:*Darren Glosemeyer <darreng@wolfram.com>