![]() Sum of weights: The sum of the weights of the observations used in the calculations. In the formulas shown below, nn is the number of observations. Observations: The number of observations used in the calculations. Goodness of fit statistics: The statistics relating to the fitting of the regression model are shown in this table: The number of missing values, the number of non-missing values, the mean and the standard deviation (unbiased) are displayed for the quantitative variables.Ĭorrelation matrix: This table is displayed to give you a view of the correlations between the various variables selected. Results of the LASSO Regression in XLSTATĭescriptive statistics: The table of descriptive statistics shows the simple statistics for all the variables selected. Interactions / Level: Activate this option to include interactions in the model then enter the maximum interaction level (value between 1 and 5). Past that time, if convergence has not been reached, the algorithm stops and returns the results obtained during the last iteration. Maximum time (in seconds): Enter the maximum time allowed for a coordinate descent. Default value: 100.Ĭonvergence: Enter the maximum value of the evolution of the log of the likelihood from one iteration to another which, when reached, means that the algorithm is considered to have converged.
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