LinSat estimates four linearly transformable functions and two saturation models for trend extrapolation. It computes four goodness-of-fit criteria, viz. RMSE = Root Mean Squared Error, MAD = Mean Absolute Deviation, MAPE = Mean Absolute Percentage Error, and MPE = Mean Percentage Error or Bias. Forecast values may be calculated for each function of the user's choice. Observed and fitted data are plotted in a line graph. The demo data file Sample17.dat contains 17 datapoints.

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Unzip the linsat.zip file to a directory where you have writing and executing authority and start the batch file linsat.bat. Load the demo data in \data\sample17.dat.