Partial least squares structural equations modeling (PLS-SEM) uses sampling bootstrapping to calculate the significance of model parameter estimates (e.g., path coefficients and outer loadings). However, when data are time series, as in marketing mix modeling, shows inconsistencies that arise because series has an autocorrelation structure contains seasonal events, such Christmas or Black Frida...