Statistical Confluence Analysis by Means of Complete Regression Systems

absolute row sum adjoint correlation matrix affixes assumption basic variates beams big set bigger set bunch analysis bunch map butter c₁ characteristic polynomial characteristic roots column computed concentric numbering confluence analysis connection considered contained correlation coefficients criteria decimal places defined definitional flattening determined diagonal regression disturbing intensities effect elementary regression ellipsoid method equal expression Figure five-sets formula four-sets function given included indicate instance intercoefficient isoquant line coefficients linearly dependent maximal roots means meat minimalisation moment matrix money flexibility multicollinear multiply collinear observational variates obtained Oslo possible potato data principal minors reference commodity regression analysis regression coefficients regression equation result right member Section set of variates significant standard errors star map subscatterances subsets sumsquare superfluous Sylvester's formula systematic three-sets tightness tilling tables tion true two-sets values various x₁ x₂ zero α β αβ λ₁ λα