The method is based on Chi-squared distribution with DF = 2 * (m(Q)/s(Q)^2
reslim.chisq(Q, alpha = 0.05, gamma = 0.01, Qlim = NULL,
return = "limits")
vector with Q-residuals for selected component
significance level for extreme objects
significance level for outliers
vector with Q limits for selected number of components (from model)
what to return: 'limits'
or 'probability'