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These models calculate the least squares fit of a set of data with a guassian distribution as well as calculating the variance and covariance of the model parameters.

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Linear-Inverse-Theory-Least-Squares-Model

This model calculates the least squares model fit of a set of data with a guassian distribution as well as calculating the variance and covariance of the model parameters. Included is an example set of data 'data1.dat.txt' which organized in the following way: 1st column = x values; 2nd column = y values; 3rd column = error bars

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These models calculate the least squares fit of a set of data with a guassian distribution as well as calculating the variance and covariance of the model parameters.

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