However, if a straight line is fitted for logarithmic spectrum data to give the particle temperature, it is better to minimize the temperature square errorsum.
如果将能谱实验数据的对数拟合成直线以求得粒子温度，则最好对温度误差的平方和极小化。
2
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the errorsum of squares of the model and improve the precision of forecast.
Fitting a curve for an experimental energy spectrum of plasma particles with the least square method, a square errorsum between the fitted curve and experimental spectrum data is usually minimized.