Using LSQ, unknown data can be easily obtained, and the error of the sum of squares between the observed data $y_{i}$ and the actual data $y_{i}^*$ can be minimized
The unknown data can be easily obtained by LSQ, and the observed data can be $y_ {i} $vs. actual $y_ {i} The sum of squares error of ^ * $is the smallest<br>