how to determine standard error of the estimate of this model please

> summary(mm.nofvc)

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Family: c("NO", "Normal")

Call: gamlss(formula = fvc ~ log(height) + pb(log(age)),

sigma.formula = ~pb(log(age)), family = NO(mu.link = "log"),

data = mm)

Fitting method: RS()

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Mu link function: log

Mu Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) -9.88323 0.64845 -15.24 <2e-16 ***

log(height) 2.33865 0.12496 18.71 <2e-16 ***

pb(log(age)) -0.24521 0.01384 -17.72 <2e-16 ***

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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

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Sigma link function: log

Sigma Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) -0.3282 0.2129 -1.541 0.1235

pb(log(age)) -0.1256 0.0595 -2.110 0.0351 *

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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

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NOTE: Additive smoothing terms exist in the formulas:

i) Std. Error for smoothers are for the linear effect only.

ii) Std. Error for the linear terms maybe are not accurate.

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No. of observations in the fit: 1061

Degrees of Freedom for the fit: 7.569118

Residual Deg. of Freedom: 1053.431

at cycle: 4

Global Deviance: 1366.002

AIC: 1381.141

SBC: 1418.736

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