CS <- SPCS20RSA
k2k <- "2000-01-01:
summary(lm(apply.quarterly(SP5[k2k],mean)[,1] ~ PAq[k2k] * UCq[k2k] * G[k2k]*CSq[k2k] - UCq[k2k] -G[k2k] - PAq[k2k]*G[k2k] - UCq[k2k]*G[k2k]*CSq[k2k]))
Residuals:
Min 1Q Median 3Q Max
-208.815 -29.865 1.545 39.597 203.971
Coefficients:
Estimate Std. Error t value
(Intercept) -1.250e+03 4.070e+02 -3.071 0.00311 **
PAq[k2k]:UCq[k2k] 8.127e-05 6.593e-06 12.327 < 2e-16 ***
PAq[k2k]:CSq[k2k] -2.300e-04 3.765e-05 -6.109 6.27e-08 ***
PAq[k2k]:UCq[k2k]:G[k2k] -5.465e-09 4.813e-10 -11.355 < 2e-16 ***
PAq[k2k]:UCq[k2k]:CSq[k2k] -1.731e-07 3.413e-08 -5.070 3.54e-06 ***
PAq[k2k]:G[k2k]:CSq[k2k] 2.503e-08 1.927e-09 12.988 < 2e-16 ***
PAq[k2k]:UCq[k2k]:G[k2k]:CSq[k2k] 9.177e-12 1.954e-12 4.697 1.41e-05 ***
---
Residual standard error: 80.57 on 65 degrees of freedom
Multiple R-squared: 0.9674, Adjusted R-squared: 0.9643
F-statistic: 321 on 6 and 65 DF, p-value: < 2.2e-16
my_sp5cs(k2k,last(G[k2k]),as.vector(last(PAq[k2k])),as.vector(last(UCq[k2k])),as.vector(last(CSq[k2k])))
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