The residual sum of squares (also referred to as the sum of squared residuals (SSR) and the sum of squared errors (SSE)) is defined as RSS=∑i=0n−1(yi−xi)2 Installation npm install @stdlib/stats-incr-rss Alternatively, To load the package in a website via a script tag ...
this code allows to compute the spectral exponent of the resting EEG, based on the Power Spectral Density, over a given scaling region. - milecombo/spectralExponent
G_to_Eigen(res_G, &res);this->Q = (this->K_sqrt * res).squaredNorm();// calculate P0 = V - V X (X' V X)^(-1) X' VEigen::VectorXf v; G_to_Eigen(v_G, &v);if(this->nCovariate ==1) { P0 = -v * v.transpose() / v.sum();// printf("dim(P0) = %d, %d\...
Because the regression included a constant, the total sum reflects the sum after removal of means, as does the sum of squares due to the model. The table also reveals that there are 73 total degrees of freedom (counted as 74 observations less 1 for the mean removal), of which 2 are ...